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000-SS1 | IBM Systems Software Sales Mastery V1

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000-SS1 - IBM Systems Software Sales Mastery V1 - braindump

Vendor IBM
Exam Number 000-SS1
Exam Name IBM Systems Software Sales Mastery V1
Questions 32 Q & A
Recent Update February 11, 2019
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000-SS1 exam Dumps Source : IBM Systems Software Sales Mastery V1

Test Code : 000-SS1
Test Name : IBM Systems Software Sales Mastery V1
Vendor Name : IBM
Q&A : 32 Real Questions

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IBM IBM Systems Software Sales

IBM profits: rising tech anticipated to account for half of revenue as revenue declines | killexams.com Real Questions and Pass4sure dumps

foreign company Machines Corp. is asking at a 2d straight quarter of earnings declines, but hopes to turn the corner to have half of its earnings derived from emerging applied sciences rather than from legacy mainframes.

IBM IBM, +0.39%  is scheduled to report fourth-quarter income after the shut of markets on Tuesday.

IBM said its “strategic imperatives” corporations — that's, cloud, analytics, cellular, social and safety — generated $39.5 billion in income and represented 49% of total IBM earnings over the outdated 365 days during the third quarter.

Instinet analyst Jeffrey Kvaal, who has a purchase score on IBM and decreased his price target to $160, pointed out a strong greenback nevertheless presents a headwind for IBM and may probably continue into 2019. whilst revenues slip, IBM’s center of attention is shifting income into that “strategic imperatives” column. Kvaal expects that steadiness to be even for the year.

“We are expecting Strategic Imperatives to increase upon its 3Q boom expense of 6%,” Kvaal talked about. “We consider cloud growth remains potent and analytics will advantage from a powerful 3Q pipeline. IBM continues to be not off course to attain its target of $40bn in SI revenue in 2018. SI should still additionally exceed 50% of the enterprise for 2018.”

Kvaal also sees IBM returning to sustained biological growth in 2019, which should still no longer be “a excessive bar; constant forex sales have been flat to up for 4 straight quarters.”

In late October, IBM offered $190 a share for pink Hat Inc. RHT, +0.14% , a more than 60% top rate at the time, in a bid to benefit dominance in the hybrid cloud market, whereas trimming a few of its other utility choices.

meanwhile, greater recently at CES, IBM noted it continues to be betting closely on AI for purposes to industries reminiscent of climate prediction, airways and medical diagnostics.

profits: Of the 18 analysts surveyed by way of FactSet, IBM on normal is anticipated to submit adjusted income of $four.eighty two a share, in comparison with $5.18 within the year-in the past quarter. The present estimate is down from the $4.89 a share expected originally of the quarter. Estimize, a software platform that makes use of crowdsourcing from hedge-fund executives, brokerages, buy-facet analysts and others, calls for profits of $4.87 a share.

profits: Wall street expects salary of $21.seventy three billion from IBM, a decline of three.5% from the $22.54 billion within the 12 months-ago quarter, according to 17 analysts polled by FactSet. existing analyst expectations fell from the $22.1 billion forecast in the beginning of the quarter. Estimize expects salary of $21.seventy five billion.

For the yr, IBM reiterated its adjusted salary outlook of “at the least $13.80” and pointed out it expects revenue growth on the yr. Analysts are expecting income of $13.seventy nine a share and revenue of $79.69 billion, or a rise of 0.7%.

Analysts surveyed via FactSet expect cognitive-options income to say no 2.9% to $5.27 billion from the 12 months-ago quarter. know-how features and cloud-platform earnings is expected to say no 1.7% to $9.04 billion. technology functions and cloud-platform includes IBM Cloud, formerly referred to as Bluemix.

international business functions earnings is anticipated to say no 0.1% to $four.15 billion, and methods salary is forecast to drop 17% to $2.77 billion from the yr-in the past period. world business capabilities contains consulting for modernizing enterprise design and commercial enterprise and cloud functions, while the techniques business contains operating-methods software and the enterprise’s mainframe business, together with IBM’s z14 line of servers.

inventory movement: IBM shares have fallen pretty much sixteen% when you consider that the business’s outdated salary record, through which income fell in need of Wall highway estimates. In evaluation, the Dow Jones Industrial DJIA, -0.25%  has declined 5.5%, the S&P 500 index SPX, +0.07%  has fallen 6.2% and the tech-heavy Nasdaq Composite Index COMP, +0.14%  has dropped 7.3% in that time.

What analysts are saying: Of the 22 analysts who cover IBM, eight have purchase or overweight ratings, 11 have hang scores and three have promote or underweight rankings, with a normal price target of $146.26.

Stifel analyst David Grossman, who has a purchase rating and a $178 cost target on IBM, spoke of he expects revenue per share and free money stream at the enterprise to continue to be tremendously flat in 2019 and 2020, with growth resuming in 2021.

“This analysis assumes no salary or cost synergies from the RHT acquisition and modest headwinds from IBM’s residual core,” Grossman noted.

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IBM Bets the Farm on the Cloud | killexams.com Real Questions and Pass4sure dumps

- via John Kinsellagh

all over the latter part of final 12 months, international business Machines Corp.'s (IBM) shares have been overwhelmed down over 26% because the business overlooked sales estimates for 2 consecutive quarters and faced skepticism regarding its plans to diversify into other business traces to support re-ignite its lackluster increase. besides the fact that children the business's revenue extended final 12 months, most of that growth changed into attributable to the introduction of a new mainframe device. That business dropped 41% within the fourth quarter.

An examination of the chart under highlights how revenue for the enterprise crash-dived during 2018, after cresting at a peak in 2017.

For its fourth quarter, the enterprise posted revenue per share of $4.87 versus the analysts' consensus of $4.82. IBM generated $21.8 billion in earnings, a decline of 3% from remaining year in comparison to the $21.seventy three billion normal analysts estimate. Analysts have been blissful the business accelerated its fiscal 2019 advice for $13.ninety per share in comparison to $13.81 for the old year.

regardless of the uninspiring fourth-quarter results, there are grounds for cautious optimism based on the company's plans for growing its cloud computing and artificial intelligence functions units. indeed, the enterprise confirmed growth in the fourth quarter in precisely these areas, that are key to its strategic initiative in exiting historical lines of enterprise and entering the burgeoning and promising cloud database sector. IBM hopes to boost its cloud features capabilities for existing and advantage customers by way of offering its strong data analytics and AI capabilities via Watson, its AI software business.

certainly, there are signals of existence for these promising new lines of cloud computing database services. The business's combined cloud services and statistics analytics earnings grew 5% within the fourth quarter to $11.5 billion. For 2018, the business cloud computing enterprise grew to $19.2 billion -- a good 12%. IBM's artificial intelligence cognitive software business hosted on the Watson platform in addition to cybersecurity capabilities posted revenue of $5.forty six billion, exceeding analysts' projections of $5.25 billion.

Three years ago, the company's cloud computing and AI application functions accounted for 25% of its total business; for 2018, these company units that are key for imposing IBM's strategic initiatives accounted for 50% of its average business operations. For the enterprise's diversification dreams, here is a promising trend within the correct course.

Cloud functions is a burgeoning and profitable area, as extra firms are looking for both to enhance latest IT capabilities or stream their computing needs totally to the cloud because of lower prices and a greater efficient use of resources. When assessing the abilities market for cloud computing capabilities, traders should note Microsoft's meteoric boom over the ultimate several years has been as a result of the swift boom of its personal Azure database features unit.

IBM believes the most effective approach for organising a presence into the profitable cloud market is by way of partnering with different firms to either give an extension of a corporation's current cloud capabilities or to present these firms its own hybrid capabilities. This approach seeks to leverage an organization's current in-condominium capabilities with the superior substances IBM can deliver in statistics analytics and cognitive utility capabilities.

IBM believes there is room within the hybrid cloud computing sector for a corporation to make use of dissimilar cloud providers with a view to achieve the optimal and reasonable cloud computing solutions for their wants. This differs from the method of both Microsoft (MSFT) and Amazon (AMZN), who commonly don't accomplice with different third-celebration cloud database providers in delivering their personal cloud computing capabilities.

with a view to support kickstart its plans for increasing into the tremendous cloud computing market, IBM purchased really good open utility Linux functions company crimson Hat Inc. (RHT) for $34 billion. IBM believes purple Hat will enable it to promote personalized software products to builders who design complex purposes that may run on each in-condominium IT facts facilities as well as cloud computing platforms, equivalent to Amazon's AWS and Microsoft's Azure.

Story continues

although IBM claims the deal will start to boost its free cash circulate and enhance margins in 2019, many analysts view the purchase cost for crimson Hat as exorbitant. IBM paid a hefty top rate, which amounted to 63% above the shares's then-closing price of $116. Many traders will are looking to see the hefty expense paid for the business's capabilities transformed right into a move of revenue within the near future.

IBM's contemporary agreement with telecommunications company Vodafone (VOD) is an instance of how the business hopes to benefit a foothold within the cloud services market by strategic partnering with third events to extended its cloud business. The deal demonstrates how telecommunications firms with existing cloud capabilities are joining with higher organizations which have more suitable elements to improvement their existing valued clientele. IBM will supply Vodafone's valued clientele with superior cloud supplies that a ways lengthen their in-condo computing materials.

The purchase of pink Hat and the enterprise's plans to diversify into the cloud computing enterprise gifts dangers, because it may additionally not be as transformative as hoped or able to producing satisfactory earnings to tug IBM out of its tepid increase cycle. additionally, the enterprise faces stiff competition within the cloud functions enterprise.

If the constant growth in its cloud capabilities unit continues unabated, large Blue may be smartly poised to take competencies of the latest distinctive and complicated needs of establishments looking to integrate their in-house cloud and legacy methods with IBM's vastly stronger and extra advanced capabilities.

Disclosure: I haven't any positions in any of the securities referenced in this article.

study more here:

this article first regarded on GuruFocus.


Can crimson Hat store IBM? | killexams.com Real Questions and Pass4sure dumps

likely the neatest thing which you can say about IBM's latest economic effects is that they were adequate. The company's revenues are fairly flat, which potential it continues to be dropping market place relative to the competitors. 

IBM simply declared annual revenues of $79.59 billion for fiscal 2018, which is roughly the same as the $79.14bn it made in 2017, and the $seventy nine.92bn from 2016. basically, or not it's no longer vastly distinct from the $eighty one.74bn it declared for 2015.

Of path, stasis is a massive improvement on old years the place revenues on occasion plunged via billions. despite the fact, as a company, IBM remains going nowhere fast. Its annual revenues were $eighty one.67bn way lower back in 1998.

ibm-vs-google-annual-revs-2008-18.png

IBM has stopped its decline in revenues, however's nevertheless dropping market place to quick-turning out to be opponents comparable to Google (above), Microsoft and Amazon's AWS.

Chart by using Jack Schofield

what number of desktop organizations are promoting much less stuff than they did twenty years ago, earlier than the dot-com increase/bust, the information superhighway market explosion, the appearance of smartphones and capsules, and an important movement to the cloud?

For evaluation, Google has long gone from zero to $110bn over the equal 20-12 months time-body, Microsoft from $15bn to $110bn, and Apple from $6bn to $229bn (growth!). Even Dell has tripled its revenues, from $18.24bn in 1998 to $sixty one.64bn in 2017.

one of the crucial explanations IBM may still be doing greater is that it be been merchandising itself as a cloud company — based partly on its purchase of SoftLayer and different groups — and the cloud has been growing very rapidly. 

youngsters, IBM's this autumn results confirmed its cloud revenues missing estimates: they had been very nearly flat at $eight.93bn. massive Blue counts loads of revenue of ordinary IBM mainframes as cloud revenues, and its methods division's income dropped with the aid of 20 percent in the quarter, because the mainframe sales cycle grew to become down.

however pink Hat cometh

IBM is hoping issues will alternate when it takes over pink Hat, an open-source software company, within the 2d half of this year. Backers declare this can make IBM the chief within the hybrid cloud market, and that i'd have an interest to peer numbers that assist this claim.

absolutely, it'll come at a value. IBM is paying $34bn or $a hundred ninety per share for crimson Hat, which was a sixty two p.c premium on its $116 market rate. or not it's a lot to pay for a company with annual revenues of most effective $2.9bn in 2018. but when it makes it possible for IBM to develop its revenues every year, it might neatly be worth it.

The problem is that IBM is not flush with cash. Apple or Google or Microsoft may easily come up with the money for pink Hat, but at present, IBM has simply $12bn in cash and $46bn in debt (notwithstanding most of that debt helps IBM's world Finance company). instead of salting its money away, IBM has spent around $100bn purchasing its personal shares, and it has additionally paid shareholders massive dividends. indeed, IBM has improved dividends every year for greater than twenty years, and now yields more than 4 %.

SEE: 20 brief suggestions to make Linux networking less difficult (free PDF)

IBM has mentioned that, to pay for purple Hat, it will droop share repurchases in 2020 and 2021, however will nonetheless ought to take on loads of debt, possibly by means of issuing corporate bonds. This doesn't mean that IBM can't have the funds for to purchase purple Hat. evidently, it will possibly. despite the fact, as with any one who takes on a enormous debt, it's going to preclude IBM's future options. It might additionally make the company greater vulnerable to unforeseen routine, including a US recession and a hike in hobby charges.

either manner, the latest thought is that pink Hat will proceed to operate independently of IBM. Frankly, I do not expect this to occur, in response to IBM's song checklist, and since, from a strategic factor of view, it would not make much feel.

The most advantageous case state of affairs is that pink Hat's CEO Jim Whitehurst receives to run all of IBM's application operations and turns them round. The worst case situation is that crimson Hat gets slowed down by IBM's forms.

The crimson Hat acquisition could be a huge win for IBM: it could radically change the business. unluckily, IBM's efficiency over the past twenty years means that could now not occur. 

old AND linked coverage

crimson Hat income softer than anticipated forward of IBM buy

purple Hat's bottom line beat Wall road ambitions, however income fell in need of expectations. red Hat's boom might be carefully watched as IBM aims to shut its acquisition.

Why IBM's buy of red Hat makes their future by and large cloudy (TechRepublic)

James Sanders takes a closer seem on the reasons at the back of IBM's flow to be a part of forces with red Hat.

MongoDB "open-source" Server facet Public License rejected

red Hat might not use MongoDB in red Hat commercial enterprise Linux or Fedora due to MongoDB's new Server aspect Public License.

DevOps for the hybrid cloud: pink Hat Ansible Tower three.four

crimson Hat is expanding its commonplace Ansible DevOps software so that you can conveniently automate everything from your server to the hybrid cloud and lower back once more.

pink Hat releases crimson Hat business Linux eight beta

The next major RHEL replace is on its means with greater container friendliness than ever.

IBM to purchase crimson Hat to stave off Amazon, Google, Microsoft (CNET)

or not it's the largest acquisition ever for IBM, and it be all in regards to the cloud.


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IBM Systems Software Sales Mastery V1

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IBM: 2 Important Verticals To Watch | killexams.com real questions and Pass4sure dumps

No result found, try new keyword!In 2012, the company made it clear it wants to focus on high value segments with fatter profit margins and earn 50% of sales from software development ... will have a significant positive impact on IB...

20 startups take center stage at Berkeley SkyDeck’s demo day | killexams.com real questions and Pass4sure dumps

The largest-ever Berkeley SkyDeck demo day kicked off with a high-energy performance from the Cal marching band, setting the tone for an afternoon of presentations from none other than Berkeley faculty and students-turned-entrepreneurs.

Launched in 2012 as a modest accelerator for student-run businesses, SkyDeck has flourished since its inception. To date, the program has mentored 300 startups, which have gone on to raise $800 million via 27 funding rounds and 10 acquisition deals. Earlier this year, it raised a $24 million venture fund so it could finally seed participating startups with $100,000 in exchange for 5 percent equity. Today’s cohort is only the second to receive an investment from SkyDeck as part of the accelerator.

To participate in SkyDeck’s accelerator program, startups must have at least one founding member attending any of the University of California campuses as an undergraduate or graduate student. Faculty members are also able to apply, as are founders based outside the U.S. — as long as they bring on a Berkeley-enrolled co-founder or advisor upon arrival. Executive director Caroline Winnet said they plan to invest half that fund’s profits back into the university.

Lime, the bike- and scooter-sharing startup, is the biggest success story to emerge from SkyDeck. The company was created by Cal grads Toby Sun and Brad Bao, who were part of a 2017 SkyDeck cohort. Kiwi Campus, a robotics startup focused on last-mile delivery, and TDK-acquired Chirp Microsystems, are also SkyDeck graduates, as is the mental health startup Aura, which announced a $2.7 million financing just last week.

SkyDeck works with two cohorts of companies per year for six months each.

Here’s a look at the 20 startups that demoed for investors on Berkeley’s campus today:

PredictEV: Focused on the sports and esports market, PredictEV is a blockchain-powered social network for fans to share their predictions and earn cryptocurrency.

Researchably: Targeting medical research, pharma sales and outreach teams, the startup provides a research-based medical advice system.

Triton: A software platform that helps media companies tailor content to each individual reader or viewer. Triton is set to begin running pilots with Vanity Fair and The CW.

Predictim: An AI-powered platform that accesses a person’s trust and reliability. The purpose is to eliminate risk for members of the sharing economy. Basically, it will help you figure out if your dog-walker is a murderer.

Seamless Microsystems: Designs and manufactures semiconductor chips for consumer medical imaging, 5G networking LIDAR in autonomous driving and more.

SoftRides: Using AI and a smartphone’s image sensor to detect distracted driving behavior and alert you in real time.

Eye Level.AI: Founded by a group of former IBM Watson employees, Eye Level.AI provides an analytics-driven platform to assist chatbot owners to monetize current users and attract new ones.

Eye Level.AI

Perfect Dashboard: An AI-powered online marketplace for connecting SaaS products to small businesses.

The SMBX: A provider of a mobile marketplace that connects small businesses with people interested in investing in them.

Chameleon Biosciences: A startup focused on revolutionizing gene therapy to treat rare diseases.

ThinkCyte: The company has invented new imaging technology combined with machine learning, called Ghost Cytometry, to analyze and isolate cells for drug discovery, cell therapy and clinical diagnostics.

Snipfeed: With 44,000 weekly active users, Snipfeed helps Generation Z mobile users avoid misinformation online with its AI-powered news and information recommendation engine.

DropEx: A business networking app and relationship management system.

Peanut Robotics: The startup’s consumer-facing robot can grip household items to assist with cleaning at hotels, offices and airports.

Empire Biotechnologies: The company is developing therapies for gastrointestinal issues, specifically short bowel syndrome. Empire’s drug is used to control the absorption of nutrients through the digestive system.

Humm: A developer of wearable cognitive performance enhancement hardware created by a group of researchers at the University of Western Australia.

CoolJamm: An automated music producer and recommendation engine that uploads directly to YouTube.

Bungee: Led by three former Amazon employees, Bungee helps e-commerce businesses mine geo-specific data to create a recommendation engine for price, promotions and inventory.

SimpleDataLabs: The creator of Prophecy, a predictive analytics platform focused on business analysts and executives.

Skyloom: The company wants to improve space-to-Earth communications and unlock “the true economic potential of low Earth orbit” with its spaceborne infrastructure.


The problem with analytics | killexams.com real questions and Pass4sure dumps

IBM-Bigdata-Analytics

There is a difference between knowledge and understanding. Knowledge typically comes down to knowing facts while understanding is the application of knowledge to the mastery of systems. You can know a lot while understanding very little. Just as an example, IBM’s Watson artificial intelligence system that defeated the TV Jeopardy champs a few years ago knew all there was to know about Jeopardy questions but didn’t really understand anything. Ask Watson to apply to removing your appendix its knowledge of hundreds of medical questions and you’d be disappointed and probably dead. That’s the problem with most analytics, which is why it can be a hard sell.

The answer to this problem, we’re told, is not just machine learning but Deep Machine Learning, the difference between the two being that plain old machine learning is a statistical process that could be (and used to be) replicated by hand, while the deeper variety looks several generations deep in a longitudinal analysis that quickly grows too big for mere mortals to comprehend. Deep machine learning will, theoretically, find all the interconnections and dependencies that until now we’ve had to rely on domain experts to provide, yet even then it can only happen if you happen to be gathering the right data.

With regular machine learning, when IBM talks about Watson looking inside your business and finding answers, well that can only really happen if a few PhDs are attached to the software. But with deep machine learning the idea is that the machine can do it all. No PhDs required, which would be quite a breakthrough. And so all the big companies fighting over the future of IT are building new circuits -- hardware -- for deep machine learning. Google and IBM have made recent announcements about theirs. Microsoft told me a couple weeks ago that they have similar hardware working in their lab. It’s a space race.

And it’s also at least five years from being real on any commercial scale.

Until deep machine learning is common and fast we’ll be stuck with more mundane analytics. So no, Watson isn’t going to be crunching your company numbers soon and spitting out the right answers or even the right questions to ask. We’re simply not there yet.

Which brings us to a curious thing happening at IBM. Not closing the I.M. Pei-designed lab in Somers, New York that was announced last week. That campus has been half-empty for years. Nor am I talking about the continuation of IBM’s brutal GTS layoffs, which reportedly killed another 14,000+ IBM jobs last week. What I am talking about here is the reorganization of IBM’s analytics business unit that was announced internally two weeks ago. You won’t find a news story about it… until now.

The analytics reorg labelled "One Team, One Platform" wasn’t technically a Resource Action (forced layoff). It was explained as a streamlining of business processes to improve efficiency. Citing similar moves at Google, IBM’s analytics group would no longer have employees working from home and the number of official analytics office locations worldwide would decrease from 200 to 30. People will soon be working and meeting physically together, some of them for the first time. This is good, right?

Yet the reorg is wildly unpopular within the ranks for one important reason: If for some reason affected IBMers need to keep working from home or they can’t or won’t move to their designated IBM office location, well then they are deciding to quit in the view of IBM, which means they are out of the company with no severance -- no package.

Analytics general manager Rob Thomas, who announced the reorg, has been uniformly described to me by IBMers from that division as "an idiot", which may be some internal IBM technical term, I don’t know.

The reorg, which tellingly requires some orthodox Jewish IBMers working in Israel to reverse history and relocate to either Germany or Poland, will inevitably result in a significant reduction in head count yet not have to be accounted for as one. These are stealth layoffs.

Remember that the future of IBM is supposed to be all about CAMSS (cloud, analytics, mobile, security, social) and analytics is the A in CAMSS. In one moment IBM says analytics is strategic, that they are investing and hiring in the area, yet at the same time the company is taking actions that will inevitably lead to the loss of at least some employees who are vital to the unit.

It’s the blindness of this reorg that amazes me. Heads will go no matter what, but in this case the specific heads won’t be decided by the company but by the workers, themselves. The best workers will be the most employable and therefore the quickest to go. If analytics is so strategic how can IBM allow that to happen?

I believe I know what’s happening here. Years of layoffs and unfilled positions at IBM mean that pretty much everyone remaining who isn’t in management is already very good at their jobs. There is no more fat to cut. So why not leave it up to the employees, themselves, especially if the gambit will result in very low separation expenses?

It is unlikely that any of the IBMers who are lost in this reorg will be replaced. Rather, as has become the norm at IBM in recent years, those who are left will be expected to pick up the slack.

Yes, but what about CAMSS? What about analytics being so strategic to the future of IBM?

In order to understand that we have to also understand who is IBM’s customer. Peter Drucker wrote that the purpose of the corporation is "to find a customer". Well who is IBM’s customer if the company is effectively cutting one of the divisions it is relying upon for future growth?

IBM’s customer is Wall Street.

IBM’s products are earnings-per-share, dividends, and share buy-backs, not hardware, software or computer services.

This morning I took a quick look at IBM‘s 1Q16 statement. It was interesting what was stated, how it was stated, and what was not stated. They signed $4.2 billion in Analytics and $2.6 billion in Cloud business. The rest of CAMSS was puny. If Analytics is doing better than the rest, why mess with it? How many billions have they spent to make $11 billion a year on cloud?

IBM has mostly reported revenue. Part of the company’s sales culture, it is what you sign in deals that matters. But how much profit is each division making? That is how most companies are managed. IBM‘s big money maker is services and that is losing business. IBM wants to keep Wall Street off the scent and keeping reported earnings up is critical. So they’re cutting deep with no severance. This is all about buying time until the new business gains traction. However if the new business doesn’t make as much profit, that is going to be a big problem.

This is a very scary gamble for IBM.

What this analytics reorg means is that IBM can’t see a way to reach its near-term Wall Street product objectives without cutting heads in analytics. The division was built up in anticipation of certain sales and profit targets, those targets have not been reached, so IBM will cut expenses until the numbers look right. Forget that this reorg will actually result in less -- not more -- work being done. Forget that it makes even less likely IBM achieving its goals for analytics. Forget all of that.

What it means is the A in CAMSS has already failed. That’s my understanding.



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