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M2040-641 | IBM Exceptional Web Experience Sales Mastery Test v1

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M2040-641 - IBM Exceptional Web Experience Sales Mastery Test v1 - braindump

Vendor IBM
Exam Number M2040-641
Exam Name IBM Exceptional Web Experience Sales Mastery Test v1
Questions 50 Q & A
Recent Update January 10, 2019
Free PDF Download M2040-641 Brain Dump
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M2040-641 exam Dumps Source : IBM Exceptional Web Experience Sales Mastery Test v1

Test Code : M2040-641
Test Name : IBM Exceptional Web Experience Sales Mastery Test v1
Vendor Name : IBM
Q&A : 50 Real Questions

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IBM IBM Exceptional Web Experience

Ephox delivers an exceptional rich textual content enhancing adventure at IBM's first-rate net event conference | killexams.com Real Questions and Pass4sure dumps

PALO ALTO, CA--(Marketwired - June 06, 2013) - Ephox (ephox.com), a long-time IBM enterprise accomplice, will show how its wealthy text modifying application, EditLive!, can simplify the process of developing and contributing net content at the 2013 IBM extraordinary web adventure adventure. The convention, which focuses on how businesses can convey attractive net experiences, takes region in Berlin, Germany, June eleven-13, 2013. 

In January, Ephox unveiled EditLive! for IBM Connections, a prosperous text editor that lets Connections users conveniently create fantastic content. EditLive! for IBM Connections extends an extended partnership with IBM, all through which EditLive! has empowered non-technical authors with the skill to create wonderful content within IBM internet content supervisor.

"first-rate content is the important thing to a great internet experience," based on Tom Smith, Ephox VP of international sales and advertising. "Ephox prosperous text modifying solutions assist organizations with no trouble make contributions more content and accelerate the adoption of IBM Connections, ensuring they maximize their business outcomes."

EditLive! offers an excellent prosperous textual content enhancing event which in flip empowers clients to create awesome content, whether it be in IBM Connections or IBM net content manager. content authors will also be greater productive and make a contribution better great content material, for this reason expanding the value of the platform and their company.

wonderful capabilities of the EditLive! wealthy text editor include: clean replica and paste from Microsoft office, inline spell checking and thesaurus, graphic import and editing, accessibility compliance checking, inline song alterations and commenting, and damaged hyperlink checking.

besides a June 12 speaking session titled "boost ROI and Adoption via an outstanding enhancing adventure," conference attendees can see a demo of EditLive! for IBM Connections and IBM net content manager at the Ephox sales space. 

About EphoxUsed with the aid of thousands and thousands of builders and authors worldwide, Ephox's EditLive! wealthy text modifying utility makes a speciality of reworking the web production journey with the aid of bettering the productivity and excellent of website authoring and management. The enterprise's expertise is licensed via leading net content material administration providers together with IBM, EMC|Documentum, and Open text. For greater counsel, discuss with ephox.com/EditLive, comply with us on Twitter, or like our fb page. 


IBM Cloud continues to exhibit design excellence | killexams.com Real Questions and Pass4sure dumps

The IBM Cloud design team is overjoyed to announce that two of our products, IBM information Science experience (DSX) and IBM App connect, have got an iF Design Award 2018 within the Communications — utility application category. every yr, the area’s oldest unbiased design organization, iF foreign forum Design GmbH, organizes the iF Design Award. For 65 years, the iF Design Award has been recognized as an arbiter of great for extremely good design.

IBM DSX and IBM App join gained over the 63-member jury, made up of impartial consultants from all over the place the area, with their consumer-concentrated adventure design for business software. The competitors was severe: over 6,four hundred entries had been submitted from fifty four nations in hopes of receiving the seal of best.

This award is an further fulfillment to two other design awards these days given to IBM Cloud, the pink Dot Award and the Spark Award, and serves as an unequivocal indicator of the nice of work produced with the aid of IBM Design and the way tons design has come to have an impact on the whole organization.

The profitable products

IBM App connect is a cloud-primarily based answer for company clients that right away connects apps to automate projects and raise productivity. as a substitute of manually performing excessive-contact, repetitive integration initiatives, it offers users an easy, company-oriented interface to create workflows and get notifications, sync records, music outcomes and more. company resolution makers that need to integrate their business apps and combine their statistics commonly don’t have a straightforward solution to accomplish that. They both write customized code or use complicated integration structures, which is time consuming, contains lots of utility and requires deep middleware capabilities. IBM App join turned into designed to enable clients to seamlessly join and integrate with lower back-end techniques, web, and mobile applications at any place they dwell — no matter if on-premises or in a non-public or public cloud.

we're smitten by developing mind-blowing experiences for our clients, and it’s unbelievable being part of an eclectic crew working together to make this a truth!” — Sarah Burwood, Design Lead & UX dressmaker

From a design standpoint, the IBM App connect task supplied an exciting chance to re-think about the integration experience for brand new users, and observe design pondering to this enterprise context.

“My proudest reminiscences of our App connect adventure naturally centre around the designers. As valued clientele reacted to what we’d made, they observed and listened; then the complete IBM crew moved as one to iterate and boost that consumer event.” — Brian Peaston, IBM Design supervisor, utility Integration

IBM App join

IBM information Science adventure (DSX) is a cloud-based mostly, ingenious, conclusion-to-end experience for information scientists to analysis, create, and collaborate throughout multidisciplinary teams. DSX merges an impressive set of open supply and legacy tools with an internet neighborhood for statistics scientists. on the time of its inception, there wasn’t a unified platform accessible to information practitioners. Our fundamental mission became to make facts simple and obtainable through our person-centered design manner. The statistics science box is advanced and normally changing. DSX additionally continues to extend with the box, incorporating new, richer applied sciences as data scientists’ workflow and tools shift.

“information Science event is a real innovation, merging a powerful set of tools with an online group. There are not any barriers between creating, learning and sharing.” — David Townsend, Director of Design (IBM Analytics)

IBM facts Science adventureIBM Design Takes a number one function in enterprise application Experiences

commercial enterprise software is frequently checked out as the roach motel of complicated and clunky user experiences, a ways removed from the modern, based and intuitive person experiences obtainable in lots of buyer apps. besides the fact that children, “the times they are a-changin” as companies are beginning to know how UX can definitely be a key differentiator in the commercial enterprise utility business. There’s a growing realization that corporations deserve to present business and enterprise utility that works as smartly and as intuitively because the different apps that their employees use in their every day lives.

enterprise utility needs product experiences that increase worker engagement, simplify advanced workflows, reduce turnover fees, eliminate the want for practising, and most significantly, increase consumer delight and worker productivity.

As a frontrunner within the business utility container, IBM has the ability to set a global precedent of how design can have an effect on products, users, and groups on a large scale. At IBM Design, we are offering on that promise to bring horny returned to enterprise application.

The four design awards for IBM Cloud products during the past yr, together with these two from iF Design, display the surprising strides that IBM has made as a design-pushed corporation, as well because the critical role that design performs in IBM’s cloud items. We believe that persisted and unwavering focal point on our clients, and on the design exceptional and person experience of our products will allow IBM Cloud to continue to excel, set precedents and differentiate by using design.

Awardees:

IBM DSXDirector of Design: David Townsend (IBM Analytics, San Francisco)DSX Design team: Caroline legislation, Renee Mascarinas, Jessica Gore, Leila Johannesen (IBM Analytics, San Francisco)

IBM App ConnectDesign manager: Brian PeastonApp connect Design team: Sarah Burwood, Gary Thornton, Rob Breeds, Danny Skinner, Lee Chase and Steve Haskey.


Why You need to beginning growing more videos On Social Media | killexams.com Real Questions and Pass4sure dumps

it's abnormal to suppose that a couple of corporations have yet to respect and include the significant expertise of social media, however to be reasonable, that number is frequently dwindling. on the other hand, even corporations who heavily put money into social media are lacking a trick if they overlook to make video a mainstay of their social method.

The significance of video advertising and marketing is borne out with the aid of the information: 82% of Twitter users view video content on the app and almost half (45%) of individuals watch more than an hour of video content on fb or YouTube per week. definitely, a 3rd of on-line undertaking is now spent watching video, a figure little question nourished by the meteoric upward push of streaming capabilities reminiscent of Netflix and Amazon prime Video. sure, there are many legitimate causes to provide terrific video clips throughout Twitter, facebook and different social systems. Little ask yourself 87% of on-line marketers just do that.

whereas it’s important to understand your market – the millennial 25-34 age community, for instance, are probably the most avid viewers – it will be tough to make a case for not figuring video into your social strategy.

Leveraging video on social media is critical to trap and fulfill a captive, content material-hungry audience, and decent marketers take note this. indeed, fifty one% of advertising experts cite video as the classification of content material with the foremost ROI.

If video really is one of the most impactful, versatile and ecocnomic digital advertising and marketing equipment at your disposal, you’ll need to make it a key part of your internet strategy. And in an effort to do so, you’re going to need some valuable utility. With that in mind, let’s analyze three generic video creation tools you might agree with making an attempt.

Wave.video

Wave.video is a straightforward-to-use yet effective video maker that is an absolutely packed with elements. no longer most effective will it have you pushing out advertising and marketing and social video clips in a remember of minutes, nonetheless it offers you entry to a library containing 200 million stock video clips and pictures, sorted into sectors like food, go back and forth, style, business and game. There are even 300,000 royalty-free audio clips, so you can strike simply the correct tone.

Of path, you’ll doubtless want to add your very personal photographs, video clips and song and that’s perfectly excellent: just drag and drop, and away you go. You may mix inventory footage along with your personal video clips to make an even bigger have an effect on, and there are hundreds of professional templates to choose from, too. video clips can be formatted to go well with quite a lot of social systems, including fb and Instagram, and whether you pick out full-reveal landscape 4:three or widescreen 16:9, your movies will embody the expert image you’re after.

With Wave.video, that you could quite simply overlay text in your footage, drawing the attention with classy fonts and marvelous outcomes, and you may also incorporate slick transitions between clips.

Naturally, videos can also be customized to replicate branding and business ethos, and you may even add intros and outros to toughen key messages. choose from pro ($39/month), company ($45/month) and ultimate ($149/month) packages to get the ball rolling; even stronger, that you may delivery with the free version to peer whether you’re comfy with the tool (it’s worth mentioning that with the free version, your video clips will have the Wave.video watermark)

Biteable

Used with the aid of tech giants like Microsoft, Mattel, IBM and Shopify, Biteable offers you the power to make shiny movies that get results – speedy. even if you want to make head-turning adverts and social video clips or achieved explainers and shows, the fun video maker has received you covered. Biteable has a library of 85,000 professionally filmed clips which you can make use of, compliments of Shutterstock. It also permits you to upload your own movies, photographs and sounds to place together whatever emblematic of your brand.

Biteable assure comprehensive satisfaction within 14 days or your cash returned, which is a pleasant contact. in spite of this, they present a free version which offers you 1gb of storage, allows five video initiatives per 30 days and means that you can put up to YouTube and facebook – so here is a very good vicinity to delivery if you’re nonetheless in doubt. As for the paid edition, it expenses $23/month (billed as $276/12 months) and is what you need to entry the generous library of inventory photos and post an unlimited number of videos. Three million marketers have used Biteable to craft visually marvelous video content material, and a lot of rave about simply how effortless it's to produce an advanced clip in spite of the fact that you’ve no previous journey.

where Biteable excels is with its studio-great animated video maker, with which that you would be able to use a range of templates (new ones are delivered weekly). if you’re desperate to up-level your social media game, this application comes tremendously advised.

Shakr

Social media devotees love video content material, and you'll give them what they crave with one more everyday tool called Shakr. The leading video making platform for facebook entrepreneurs, Shakr boasts over 2,000 video designs (with extra brought each and every week) put together with the aid of creative professionals and utilises a drag and drop function to get you up and running very quickly.

The ONBRAND characteristic of Shakr, in the meantime, lets you cycle through sizes and codecs to suit the ratios mandatory for quite a few social structures, including facebook, Instagram, Instagram stories and more. Launching customized video ad campaigns is a breeze due to the convenience with which that you would be able to create appealing on-manufacturer content in plenty of formats, and you may access a wide selection of pre-licensed track tracks, in addition to over 1,000,000 stock photographs and video clips.

No download or installation is required to use Shakr: all you need is a browser and a want to make first rate videos. What’s actually nifty is the fact that which you could turn your in-apartment productions into reusable templates that any of your group individuals can use. That way, in case you hit upon something that goes viral or gives a good ROI, which you can tweak and repeat someday down the line. There are three subscription plans purchasable: average ($99/month), seasoned ($179/month) and Onbrand (custom Pricing), and all plans consist of limitless video introduction, enhancing and previewing. The latter may prove expensive however comes with a committed account supervisor.

the verdict

honestly, it’s hard to opt for a winner from these three. The truth is, each of them does precisely as marketed: lets you create appealing customized videos to drive your messaging and hold customers coming returned for more.

due to aspects comparable to templates, video and image collections, custom designs, easy tutorials, animations and license-free tune, the software promise so as to add price to your marketing. no matter if you’re a person, an agency or an e-commerce company, they're going to make the process of crafting outstanding social movies more convenient than ever earlier than.

growing social media-pleasant movies is whatever thing all the big avid gamers are doing, so it’s remarkable to know so that you can emulate their efforts devoid of breaking the bank. Now go create your masterpiece.




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M2040-641 exam Dumps Source : IBM Exceptional Web Experience Sales Mastery Test v1

Test Code : M2040-641
Test Name : IBM Exceptional Web Experience Sales Mastery Test v1
Vendor Name : IBM
Q&A : 50 Real Questions

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The Best Self-Service Business Intelligence (BI) Tools of 2018 | killexams.com real questions and Pass4sure dumps

Analytics Beyond Spreadsheets

For many years, Microsoft Excel and other spreadsheets were the tools of choice for business professionals who were looking to visualize their data. But spreadsheets had their limits for many business intelligence (BI)-related tasks. Even today, trying to creating charts analyzing complex datasets in Excel can still be frustrating. Sometimes you start with the wrong kind of data, for example, or you may not know how to manipulate the spreadsheet to create the data visualization{{/ZIFFARTICLE} you need. On the other hand, the rising tide of data democratization is giving everyone in an organization access to corporate data. The need has arisen for effective tools that people of all skill levels can use to make sense of the wealth of information created by businesses every single day.

Spreadsheets also fall down when the data isn't well-structured or can't be sorted out in neat rows and columns. And, if you have millions of rows or very sparse matrices, then the data in a spreadsheet can be painful to enter and it can be hard to visualize your data. Spreadsheets also have issues if you are trying to create a report that spans multiple data tables or that mixes in Structured Query Language (SQL)-based databases, or when multiple users try to maintain and collaborate on the same spreadsheet.

A spreadsheet containing up-to-the-minute data can also be a problem, particularly if you have exported graphics that need to be refreshed when the data changes. Finally, spreadsheets aren't good for data exploration; trying to spot trends, outlying data points, or counterintuitive results is difficult when what you are looking for is often hidden in a long row of numbers.

While spreadsheets and self-service BI tools both make use of tables of numbers, they are really acting in different arenas with different purposes. A spreadsheet is first and foremost a way to store and display calculations. While some spreadsheets can create very sophisticated mathematical models, at their core it is all about the math more than the model itself.

This is all a long-winded way of saying that when businesses use a spreadsheet, they are actively sabotaging themselves and their ability to consistently get valuable insights from their data. BI tools are specficially designed to help businesses better understand their data, and can prove to be a huge benefit to those upgrading from what a limited spreadsheet can do.

What Is Business Intelligence?

Defining BI is tricky. When you examine what it does and why companies use it, it can start to sound vague and nebulous. After all, many different kinds of software offer analytics features, and all businesses want to improve. Understanding what a BI is or isn't can be unclear.

BI is an umbrella term meant to cover all of the activities necessary for a company to turn raw information into actionable knowledge. In other words, it's a company's efforts to understand what it knows and what it doesn't know of its own existence and operations. The ultimate goal is being able to increase profits and sharpen its competitive edge.

Framed that way, BI as a concept has been around as long as business. But that concept has evolved from early basics [like Accounts Payable (AP) and Accounts Receivable (AR) reports and customer contact and contract information] to much more sophisticated and nuanced information. This information ranges across everything from customer behaviors to IT infrastructure monitoring to even long-term fixed asset performance. Separately tracking such metrics is something most businesses can do regardless of the tools employed. Combining them, especially disparate results from metrics normally not associated with one another, into understandable and actionable information, well, that's the art of BI. The future of BI is already shaping up to simultaneously broaden the scope and variety of data used and to sharpen the micro-focus to ever finer, more granular levels.

BI software has been instrumental in this steady progression towards more in-depth knowledge about the business, competitors, customers, industry, market, and suppliers, to name just a few possible metric targets. But as businesses grow and their information stores balloon, the capturing, storing, and organizing of information becomes too large and complex to be entirely handled by mere humans. Early efforts to do these tasks via software, such as customer relationship management (CRM) and enterprise resource planning (ERP), led to the formation of "data silos" wherein data was trapped and useful only within the confines of certain operations or software buckets. This was the case unless IT took on the task of integrating various silos, typically through painstaking and highly manual processes.

While BI software still covers a variety of software applications used to analyze raw data, today it usually refers to analytics for data mining, analytical processing, querying, reporting, and especially visualizing. The main difference between today's BI software and Big Data analytics is mostly scale. BI software handles data sizes typical for most organizations, from small to large. Big Data analytics and apps handle data analysis for very large data sets, such as silos measured in petabytes (PBs).

Self-Service BI and Data Democratization

The BI tools that were popular half a decade or more ago required specialists, not just to use but also to interpret the resulting data and conclusions. That led to an often inconvenient and fallible filter between the people who really needed to get and understand the business—the company decision makers—and those who were gathering, processing, and interpreting that data—usually data analysts and database administrators. Because being a data specialist is a demanding job, many of these folks were less well-versed in the actual workings of the business whose data they were analyzing. That led to a focus on data the company didn't need, a misinterpretation of results, and often a series of "standard" reporting that analysts would run on a scheduled basis instead of more ad hoc intelligence gathering and interpretation, which can be highly valuable in fast-moving situations.

This problem has led to a growing new trend among new BI tools coming onto the market today: that of self-service BI and data democratization. The goal for much of today's BI software is to be available and usable by anyone in the organization. Instead of requesting reports or queries through the IT or database departments, executives and decision makers can create their own queries, reports, and data visualizations through self-service models, and connect to disparate data both within and outside the organization through prebuilt connectors. IT maintains overall control over who has access to which tools and data through these connectors and their management tool arsenal, but IT no longer acts as a bottleneck to every query and report request.

As a result, users can take advantage of this distributed BI model. Key tools and critical data have moved from a centralized and difficult-to-access architecture to a decentralized model that merely requires access credentials and familiarity with new BI software. This results in a whole new kind of analysis becoming available to the organization, namely, that of experienced, front-line business people who not only know what data they need but how they need to use it.

The emerging crop of BI tools all work hard at developing front-end tools that are more intuitive and easier to use than those of older generations—with varying degrees of success. However, that means a key criteria in any BI tool purchasing decision will be to evaluate who in the organization should access such tools and whether the tool is appropriately designed for that audience. Most BI vendors indicate they're looking for their tool suites to become as ubiquitous and easy to use for business users as typical business collaboration tools or productivity suites, such as Microsoft Office. None have gotten quite that far yet in my estimation, but some are closer than others. To that end, these BI tool suites tend to focus on three core types of analytics: descriptive (what did happen), prescriptive (what should happen now), and predictive (what will happen later).

What Is Data Visualization?

In the context of BI software, data visualization is a fast and effective method of transferring information from a machine to a human brain. The idea is to place digital information into a visual context so that the analytic output can be quickly ingested by humans, often at a glance. If this sounds like those pie and bar charts you've seen in Microsoft Excel, then you're right. Those are early examples of data visualizations.

But today's visualization forms are rapidly evolving from those traditional pie charts to the stylized, the artistic, and even the interactive. An interactive visualization comes with layered "drill downs," which means the viewer can interact with the visual to reach more granular information on one or more aspects incorporated in the bigger picture. For example, new values can be added that will change the visualization on the fly, or the visualization is actually built on rapidly changing data that can turn a static visual into an animation or a dashboard.

The best visualizations do not seek artistic awards but instead are designed with function in mind, usually the quick and intuitive transfer of information. In other words, the best visualizations are simple but powerful in clearly and directly delivering a message. High-end visuals may look impressive at first glance but, if your audience needs help to understand what's being conveyed, then they've ultimately failed.

Most BI software, including those reviewed here, comes with visualization capabilities. However, some products offer more options than others so, if advanced visuals are key to your BI process, then you'll want to closely examine these tools. There are also third-party and even free data visualization tools that can be used on top of your BI software for even more options.

Products and Testing

In this review roundup, I tested each product from the perspective of a business analyst. But I also kept in mind the viewpoint of users who might have no familiarity with data processing or analytics. I loaded and used the same data sets and posed the same queries, evaluating results and the processes involved.

My aim was to evaluate cloud versions alone, as I often do analysis on the fly or at least on a variety of machines, as do legions of other analysts. But, in some cases, it was necessary to evaluate a desktop version as well or instead of the cloud version. One example of this is Tableau Desktop, a favorite tool of Microsoft Excel users who simply have an affinity for the desktop tool (and who just move to the cloud long enough to share and collaborate).

I ended up testing the Microsoft Power BI desktop version, too, on a Microsoft representative's recommendation because, as the rep said, "the more robust data prep tools are there." Besides, said the rep, "most users prefer the desktop tool over a web tool anyway." Again, I don't doubt Microsoft's claim but that does seem weird to me. I've heard it said that desktop tools are preferred when the data is local as the process feels faster and easier. But seriously, how much data is truly local anymore? I suspect this odd desktop tool preference is a bit more personal than fact-based, but to each his own.

Then there's Google Analytics, a pure cloud player. The tool is designed to analyze website and mobile app data so it's a different critter in the BI app zoo. That being the case, I had to deviate from using my test data set and queries, and instead test it in its natural habitat of website data. Nonetheless, it's the processes that are evaluated in this review, not the data.

While I didn't test any of these tools from a data scientist's role, I did mention advanced capabilities when I found them, simply to let buyers know they exist. IBM Watson Analytics is one tool with the ability to extend to highly advanced features and was also one of the easiest to use upfront. IBM Watson Analytics is well-suited for business analysts and for widespread data democratization because it requires little, if any, knowledge of data science. Instead, it works well by using natural language and keywords to form queries, a characteristic that can make it valuable to practically anyone. It's highly intuitive, very powerful, and easy to learn. Microsoft Power BI is a strong second as it, too, is powerful while also familiar, certainly to any of the millions of Microsoft business users. However, there are several other powerful and intuitive apps in this lineup from which to choose; they all have their own pros and cons. We'll be adding even more in the coming months.

One thing to watch out for during your evaluations of these products is that many don't yet handle streaming data. For many users, that won't be a problem in the immediate future. However, for those involved with analyzing business processes as they happen, such as website performance metrics or customer behavior patterns, streaming data can be invaluable. Also, the Internet of Things (IoT) will drive this issue in the near future and make streaming data and streaming analytics a must-have feature. Many of these tools will have to up their game accordingly so, unless you want to jump ship in a year or two, it's best to think ahead when considering BI and the IoT.

BI and Big Data

Another area in which self-service BI is taking off is in analyzing Big Data. This is a newer development in the database space but it's driving tremendous growth and innovation. The name is an apt descriptor because Big Data generally refers to huge data sets that are simply too big to be managed or queried with traditional data science tools. What's created these behemoth data collections is the explosion of data-generating, tracking, monitoring, transaction, and social media tools (to name a few) that have become so popular over the last several years.

Not only do these tools generate loads of new data, they also often generate a new kind of data, namely "unstructured" data. Broadly speaking, this is simply data that hasn't been organized in a predefined way. Unlike more traditional, structured data, this kind of data is heavy on text (even free-form text) while also containing more easily defined data, such as dates or credit card numbers. Examples of apps that generate this kind of data include the customer behavior-tracking tools you use to see what your customers are doing on your e-commerce website, the piles of log and event files generated from some smart devices (such as alarms and smart sensors), and broad-swath social media tracking tools.

Organizations deploying these tools are being challenged not only by a sudden deluge of unstructured data that quickly strains storage resources [think beyond terabytes (TB) into the PB and even exabyte (EB) range] but, even more importantly, they're finding it difficult to query this new information at all. Traditional data warehouse tools generally weren't designed to either manage or query unstructured data. New data storage innovations such as data lakes are emerging to solve for this need, but organizations still relying exclusively on traditional tools while deploying front-line apps that generate unstructured data often find themselves sitting on mountains of data they don't know how to leverage.

Enter Big Data analysis standards. The golden standard here is Hadoop, which is an open-source software framework that Apache specifically designed to query large data sets stored in a distributed fashion (meaning, in your data center, the cloud, or both). Not only does Hadoop let you query Big Data, it lets you simultaneously query both unstructured as well as traditional structured data. In other words, if you want to query all of your business data for maximum insight, then Hadoop is what you need.

You can download and implement Hadoop itself to perform your queries, but it's typically easier and more effective to use commercial querying tools that employ Hadoop as the foundation of more intuitive and full-featured analysis packages. Notably, most of the tools reviewed here, including Chartio, IBM Watson Analytics, Microsoft Power BI, and Tableau Desktop, all support this. However, each requires varying levels of configuration or even add-on tools to do so—with IBM, Microsoft, and Tableau offering exceptionally deep capabilities. However, both IBM and Microsoft will still expect customers to utilize additional tools around aspects such as data governance to ensure optimal performance.

Finding the Right BI Tool

Given the issues spreadsheets can have when used as ad hoc BI tools and how firmly ingrained they are in our psyches, finding the right BI tool isn't a simple process. Unlike spreadsheets, BI tools have major differences when it comes to how they consume data inputs and outputs and manipulate their tables. Some tools are better at exploration than analysis, and some require a fairly steep learning curve to really make use of their features. Finally, to make matters worse, there are dozens if not hundreds of such tools on the market today, with many vendors willing to claim the self-serve BI label even if it doesn't quite fit.

Getting the overall workflow down with these tools will take some study and discussion with the people you'll be designating as users. Tableau Desktop and Microsoft Power BI, for example, will start users out with the desktop version to build visualizations and link up to various data sources. Once you have this together, you can start sharing those results online or across your organization's network. With others, such as Chartio or Google Analytics, you start in the cloud and stay there.

In recent years, companies have been taking advantage of the wide selection of online learning platforms out there to train their employees on using these platforms. As intuitive as these platforms may be, it is important to make sure that your employees actually know how to use these BI platforms so that you can make sure your investment was worthwhile. There are many ways of approaching this, but using the right online learning platform might be a good place to start looking.

Given the wide price range of these products, you should segment your analytics needs before you make any buying decision. If you want to start out slowly and inexpensively, then the best route is to try something that offers significant functionality for free, such as Microsoft Power BI. Such tools are very affordable and make it easy to get started. Plus, they tend to have large ecosystems of add-ons and partners that can be a cost-effective replacement for doing BI inside a spreadsheet. Tableau Desktop still has the largest collection of charts and visualizations and the biggest partner network, though both IBM Watson Analytics and Microsoft Power BI are catching up fast.

IBM Watson Analytics scored the highest, and Microsoft Power BI and Tableau Desktop scored the next highest in our roundup. However, all three products received our Editors' Choice award. Tableau Desktop may have a big price tag depending on which version you choose but, as previously mentioned, it has an exceptionally large and growing collection of visualizations plus a manageable learning curve if you're willing to devote some effort to it. Microsoft Power BI and Tableau Desktop also have large and growing collections of data connectors, and both Microsoft and Tableau have their own sizable communities of users that are vocal about their wants and needs. This can carry a lot of weight with the vendors' development teams so it's a good idea to spend some time looking through those community forums to get an idea where these companies are headed.

  • Pros: Extremely user-friendly. Fantastic automatic report generation. Impressive support availability.

    Cons: Automated reports can quickly become defaults. Steep learning curve that might confuse beginners.

    Bottom Line: Zoho Reports is a solid option for general business users who might not be knowledgeable in analytics software. It's also available at an attractive price.

    Read Review
  • Pros: Accessible user interface. Smart guidance features. Impressively fast analytics. Robust natural language querying.

    Cons: Unable to do real-time streaming analytics.

    Bottom Line: IBM Watson Analytics is an exceptional business intelligence (BI) app that offers a strong analytics engine along with an excellent natural language querying tool. This is one of the best BI platforms you'll find and easily takes our Editors' Choice honor.

    Read Review
  • Pros: Extremely powerful platform with a wealth of data source connectors. Very user-friendly. Exceptional data visualization capabilities.

    Cons: Desktop and web versions divide data prep tools. Refresh cycle is limited on free version.

    Bottom Line: Microsoft Power BI earns our Editors' Choice honor for its impressive usability, top-notch data visualization capabilities, and superior compatibility with other Microsoft Office products.

    Read Review
  • Pros: Enormous collection of data connectors and visualizations. User-friendly design. Impressive processing engine. Mature product with a large community of users.

    Cons: Full mastery of the platform will require substantial training.

    Bottom Line: Tableau Desktop is one of the most mature offerings on the market and that shows in its feature set. While it has a steeper learning curve than other platforms, it's easily one of the best tools in the space.

    Read Review
  • Pros: Bottlenecks are eliminated thanks to in-chip processing. Impressive natural language query in third-party applications.

    Cons: Might be too difficult for self-service business intelligence (BI). Analytics process still needs to be ironed out. Natural language capability can be limited.

    Bottom Line: Sisense is a complete platform that should be popular for experienced BI users. It may fall short for beginners, however.

    Read Review
  • Pros: Wide range of connectors. Impressive sharing features. Limitless data storage.

    Cons: User interface is not intuitive. Steep learning curve. Unwelcoming to new analysts.

    Bottom Line: Domo isn't for newcomers but for companies that already have business intelligence (BI) experience in their organization. Domo's a powerful BI tool with a lot of data connectors and solid data visualization capabilities.

    Read Review
  • Pros: Exceptional platform for website and mobile app analytics.

    Cons: Customer support has way too much automation. Focus on marketing and advertising can be frustrating to users. Relies mostly on third parties for training.

    Bottom Line: Due to its brand recognition and the fact that it's free, Google Analytics is the biggest name in website and mobile app intelligence. It has a steep learning curve but it is an awesome business intelligence tool.

    Read Review
  • Pros: Designed with general business users in mind. Solid return on investment.

    Cons: The data you can use is limited. Needs additional platform to connect.

    Bottom Line: The Salesforce Einstein Analytics Platform is designed for customer, sales, and marketing analyses, although it can server other needs, too. Its powerful analytics capabilities along with its solid natural language querying functionality and a wide array of partners make it an attractive offering.

    Read Review
  • Pros: Real-time analytics for Internet of Things (IoT) and streaming data features. Massive ecosystem with plentiful extenders. Responsive pages make mobile publishing easiest. Impressive storytelling paradigm. Centralized view with consolidated analytics.

    Cons: Data prep features are lacking. Confusing toolbar design. Not friendly for beginners.

    Bottom Line: If your business already uses SAP's HANA database platform or some of its other back-end business platforms, then SAP Analytics Cloud is a powerful, well-priced choice. But be warned that there's a steep learning curve and a noted dependence on other SAP products for full functionality.

    Read Review
  • Pros: Impressive processing engine. Powerful query optimization on SQL. Entirely web-based. Complex queries are handled very well.

    Cons: Poorly designed user interface. Steep learning curve.

    Bottom Line: Chartio excels at building a powerful analytics platform that experienced business intelligence (BI) users will appreciate. Those new to BI, however, will find it very difficult to use.

    Read Review
  • Pros: Very deep SQL modeling ability. Uses Git for version management and collaboration.

    Cons: Very expensive. Not for small teams.

    Bottom Line: Looker is a great self-service business intelligence (BI) tool that can help unify SQL and Big Data management across your enterprise.

    Read Review
  • Pros: Custom access roles. Solid collection of public data online.

    Cons: Complex pricing is a deterrent.

    Bottom Line: Qlik Sense Enterprise Server is a self-service business intelligence (BI) tool that delivers the best collection of user access roles among the BI tools we tested, and also demonstrates a promising start towards integrating Data-as-a-Service (DaaS).

    Read Review
  • Pros: One of the largest collections of data connectors. Many granular access roles.

    Cons: No free trial available. Training webinars can be costly.

    Bottom Line: The company's Focus query language is showing its age but Information Builders' self-service business intelligence (BI) tool WebFocus nevertheless has some powerful analysis features.

    Read Review
  • Pros: Very easy to get started. Nice team management and collaboration features.

    Cons: The cloud version has a subset of features found in Windows version. Online documentation could be improved.

    Bottom Line: While Tibco is still making the transition from a desktop to a cloud software vendor, its self-service business intelligence (BI) tool Tibco Spotfire is a great way to start visualizing your Excel data.

    Read Review
  • Pros: Excellent analytical support for Intuit QuickBooks. Very easy setup.

    Cons: Installation and setup is a bit of chore. No support for Intuit QuickBooks' online versions.

    Bottom Line: Clearify QQube is the best self-service business intelligence (BI) tool for in-depth analysis of your Intuit QuickBooks files, though you'll need to look elsewhere for broader BI tasks.

    Read Review

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    Student; activistCity: London, OntarioCountry of Origin: India

    As a 23-year-old, Sukhmeet Sachal has accomplished more than many do in a lifetime. Yet through all his achievements, he continues to embrace a humble demeanour. He is a budding benevolent leader who has a passion to make a difference in this world.

    At the age of six, he immigrated with his family to Canada from India. Here, he settled down in Surrey, B.C., and started his education. In elementary and high school, he got involved with the community in all different aspects, which led him to becoming the class valedictorian. As a result, he was offered scholarships from various universities across Canada. Ultimately, he chose to complete his undergraduate studies at McGill University in anatomy and cell biology.

    In his first year, he was elected by his peers as the president of the Freshmen Undergraduate Science Society. He continued as a Students Society of McGill University Science Representative, as well as Clubs and Services Representative. He was also selected as the academic director of the Alpha Sigma Phi Fraternity for which he represented his university at the Academy of Leadership in to St. Louis, United States.

    After completing his undergraduate degree, he decided to take some time off and volunteer around the world. In September 2017, he was selected as one of 60 students to join an eight-month master of public health program at Western University in London, Ontario.

    He achieved great success in his program where he was selected as the class representative by his peers for his leadership skills and he hosts his own radio show on good health and well-being. He has been selected for an internship this upcoming summer with the Public Health Agency of Canada to discover the link between climate change, the increased prevalence of infectious diseases and mental health.

    Additionally, he works with the Canadian Public Health Association in a working group addressing the ecological determinants of health. If he does not already have a lot on his plate, he is also working with a few of his professors in publishing academic papers and planning a project with the World Health Organization.

    On top of being an excellent academic student, his extensive list of extracurricular activities and volunteering initiatives are equally impressive. In high school, he started a club called Students Without Borders after he noticed different cliques forming. Collaborating with Free The Children, his club raised around $10,000 toward building two wells in Kenya. In university, he slept outside every year for one week for a campaign called 5 Days for the Homeless raising $50,000 with his team towards ending youth homelessness.

    Also, he has embarked on several medical mission trips to Ghana and Uganda, where he fundraised for hygiene kits and basic medical supplies. In 2016, he participated in the ninth Annual Medical Mission with Indo-Africa Charitable Society in Uganda. Volunteers consisted of various medical professionals who teamed up with local medical practitioners and with the excellent support from many young student volunteers, like him, they provided much needed medical services to over 20,000 patients.

    Before coming to Uganda, through his organization Road2Wellness Foundation, he fundraised more than $2,500 in British Columbia to create hygiene kits for the patients at the medical camp, which consisted of toothbrushes, toothpaste and soap.

    Upon his return to Canada, he shared the knowledge he gained in hopes of inspiring other youth in British Columbia by creating a short documentary about his trip.

    Last year, Sachal embarked on a trip to the Arctic for six months to volunteer and teach Indigenous youth sciences and help them graduate. He hopes to return to this community in the future as a physician. And his new organization, Break The Divide, is connecting high school Indigenous youth in the Northwest Territories with youth across British Columbia to create cross-cultural dialogue. The groups discuss geography, political issues, and learn about each other’s culture and ancestry.

    For his great work, Sachal was awarded a scholarship by the Vancouver Foundation and the Michaëlle Jean Foundation called the 2017 Fresh Voices Relationship with Indigenous People in Canada Award.

    Sachal has been recognized with several honours, including the Darpan Youth Extraordinary Award, March 2014; the Giving Hearts Award Outstanding Youth Philanthropist, November 2013, and the Surrey Board of Trade Top 25 Under 25, May 2013, among others.


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