Category Archives: EPM

Quick Thoughts on Tagetik Acquistion by Wolters Kluwer

Earlier today, the tax and accounting division of Dutch publishing giant Wolters Kluwer announced the acquistion of Italian enterprise performance management (EPM) vendor Tagetik for 300M Euros, or about $318M.

Founded in 1986, Tagetik was a strong regional European player in on-premises EPM and about 2.5 years ago had raised $37M in capital in order to attack the USA market and accelerate their transition from on-premises to cloud computing.

The press release said Tagetik was valued at 300M Euros off 57M Euros in 2016 revenues, of which 35% are “recurring in nature.”  At a hybrid on-premises / SaaS software company you have two types of revenue that’s recurring in nature:  (1) SaaS subscription fees and (2) on-premises annual maintenance fees.  Doing some back of the envelope math (detailed below), you end with Tagetik breaking into a roughly $13M SaaS business and a $47M on-premises business.

If you buy that analysis, then we can do some valuation guestimation.

While we know the overall multiple of 5.3x revenues, we need to estimate separate multiples paid for the estimated $13M SaaS business vs. the estimated $47M on-premises business.  While there is an infinite number of ways to weight the two pieces compromising the total valuation, my best guess is that Wolters Kluwer paid 10x revenues for the SaaS business and 3.9x revenues for the on-premises business, generally in line with the notion that $1 of SaaS revenue is worth about $2.5 to $3.0 of on-premises.

White Bridge, who led the investment in 2014, got about a 3x return on investment by my math (with one assumption) over about a 3 year period, for an IRR of around 45%.

Market-wise, this is not the first EPM vendor to acquired by an off-axis competitor.  Axiom was acquired by vertically oriented management consultancy Kaufman Hall in 2014 (and has since generally disappeared from the regular EPM market).  My belief is that Tagetik awaits a similar fate.

“The acquisition of Tagetik tightly aligns with our vision to expand our position in the faster growing areas of the corporate tax and accounting market,” said Tax & Accounting Division CEO Karen Abramson.

While Wolters Kluwer has a strong tax and accounting division, only one piece of EPM (consolidation) is generally sold to accounting.  Planning, in all its forms, represents about 65% of the EPM market and that is sold to FP&A, not tax and accounting.  Bridging that gap, both in terms of buyer and mentality, should not be easy for Wolters Kluwer.  I suspect this means Tagetik will play a dimishing role in the mainstream EPM market going forward.

But either way, congratulations to co-CEOs Marco Pierallini and Manuel Vellutini on a successful sale of their company.  Felicitazioni!

Kellblog’s 2017 Predictions  

New Year’s means three things in my world:  (1) time to thank our customers and team at Host Analytics for another great year, (2) time to finish up all the 2017 planning items and approvals that we need to get done before the sales kickoff (including the one most important thing to do before kickoff), and time to make some predictions for the coming year.

Before looking at 2017, let’s see how I did with my 2016 predictions.

2016 Predictions Review

  1. The great reckoning begins. Correct/nailed.  As predicted, since most of the bubble was tied up in private companies owned by private funds, the unwind would happen in slow motion.  But it’s happening.
  2. Silicon Valley cools off a bit. Partial.  While IPOs were down, you couldn’t see the cooling in anecdotal data, like my favorite metric, traffic on highway101.
  3. Porter’s five forces analysis makes a comeback. Partial.  So-called “momentum investing” did cool off, implying more rational situation analysis, but you didn’t hear people talking about Porter per se.
  4. Cyber-cash makes a rise. CorrectBitcoin more doubled on the year (and Ethereum was up 8x) which perversely reinforced my view that these crypto-currencies are too volatile — people want the anonymity of cash without a highly variable exchange rate.  The underlying technology for Bitcoin, blockchain, took off big time.
  5. Internet of Things goes into trough of disillusionment. Partial.  I think I may have been a little early on this one.  Seems like it’s still hovering at the peak of inflated expectations.
  6. Data science rises as profession. Correct/easy.  This continues inexorably.
  7. SAP realizes they are a complex enterprise application company. Incorrect.  They’re still “running simple” and talking too much about enabling technology.  The stock was up 9% on the year in line with revenues up around 8% thus far.
  8. Oracle’s cloud strategy gets revealed – “we’ll sell you any deployment model you want as long as your annual bill goes up.”  Partial.  I should have said “we’ll sell you any deployment model you want as long as we can call it cloud to Wall St.”
  9. Accounting irregularities discovered at one or more unicorns. Correct/nailed.  During these bubbles the pattern always repeats itself – some people always start breaking the rules in order to stand out, get famous, or get rich.  Fortune just ran an amazing story that talks about the “fake it till you make it” culture of some diseased startups.
  10. Startup workers get disappointed on exits. Partial.  I’m not aware of any lawsuits here but workers at many high flyers have been disappointed and there is a new awareness that the “unicorn party” may be a good thing for founders and VCs, but maybe not such a good thing for rank-and-file employees (and executive management).
  11. The first cloud EPM S-1 gets filed. Incorrect.  Not yet, at least.  While it’s always possible someone did the private filing process with the SEC, I’m guessing that didn’t happen either.
  12. 2016 will be a great year for Host Analytics. Correct.  We had a strong finish to the year and emerged stronger than we started with over 600 great customers, great partners, and a great team.

Now, let’s move on to my predictions for 2017 which – as a sign of the times – will include more macro and political content than usual.

  1. The United States will see a level of divisiveness and social discord not seen since the 1960s. Social media echo chambers will reinforce divisions.  To combat this, I encourage everyone to sign up for two publications/blogs they agree with and two they don’t lest they never again hear both sides of an issue. (See map below, coutesy of Ninja Economics, for help in choosing.)  On an optimistic note, per UCSD professor Lane Kenworthy people aren’t getting more polarized, political parties are.

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  1. Social media companies finally step up and do something about fake news. While per a former Facebook designer, “it turns out that bullshit is highly engaging,” these sites will need to do something to filter, rate, or classify fake news (let alone stopping to recommend it).  Otherwise they will both lose credibility and readership – as well as fail to act in a responsible way commensurate with their information dissemination power.
  1. Gut feel makes a comeback. After a decade of Google-inspired heavily data-driven and A/B-tested management, the new US administration will increasingly be less data-driven and more gut-feel-driven in making decisions.  Riding against both common sense and the big data / analytics / data science trends, people will be increasingly skeptical of purely data-driven decisions and anti-data people will publicize data-driven failures to popularize their arguments.  This “war on data” will build during the year, fueled by Trump, and some of it will spill over into business.  Morale in the Intelligence Community will plummet.
  1. Under a volatile leader, who seems to exhibit all nine of the symptoms of narcissistic personality disorder, we can expect sharp reactions and knee-jerk decisions that rattle markets, drive a high rate of staff turnover in the Executive branch, and fuel an ongoing war with the media.  Whether you like his policies or not, Trump will bring a high level of volatility the country, to business, and to the markets.
  1. With the new administration’s promises of $1T in infrastructure spending, you can expect interest rates to raise and inflation to accelerate. Providing such a stimulus to already strong economy might well overheat it.  One smart move could be buying a house to lock in historic low interest rates for the next 30 years.  (See my FAQ for disclaimers, including that I am not a financial advisor.)
  1. Huge emphasis on security and privacy. Election-related hacking, including the spearfishing attack on John Podesta’s email, will serve as a major wake-up call to both government and the private sector to get their security act together.  Leaks will fuel major concerns about privacy.  Two-factor authentication using verification codes (e.g., Google Authenticator) will continue to take off as will encrypted communications.  Fear of leaks will also change how people use email and other written electronic communications; more people will follow the sage advice in this quip:

Dance like no one’s watching; E-mail like it will be read in a deposition

  1. In 2015, if you were flirting on Ashley Madison you were more likely talking to a fembot than a person.  In 2016, the same could be said of troll bots.  Bots are now capable of passing the Turing Test.  In 2017, we will see more bots for both good uses (e.g., customer service) and bad (e.g., trolling social media).  Left unchecked by the social media powerhouses, bots could damage social media usage.
  1. Artificial intelligence hits the peak of inflated expectations. If you view Salesforce as the bellwether for hyped enterprise technology (e.g., cloud, social), then the next few years are going to be dominated by artificial intelligence.  I’ve always believed that advanced analytics is not a standalone category, but instead fodder that vendors will build into smart applications.  They key is typically not the technology, but the problem to which to apply it.  As Infer founder Vik Singh said of Jim Gray, “he was really good at finding great problems,” the key is figuring out the best problems to solve with a given technology or modeling engine.  Application by application we will see people searching for the best problems to solve using AI technology.
  1. The IPO market comes back. After a year in which we saw only 13 VC-backed technology IPOs, I believe the window will open and 2017 will be a strong year for technology IPOs.  The usual big-name suspects include firms like Snap, Uber, AirBnB, and SpotifyCB Insights has identified 369 companies as strong 2017 IPO prospects.
  1. Megavendors mix up EPM and ERP or BI. Workday, which has had a confused history when it comes to planning, acquired struggling big data analytics vendor Platfora in July 2016, and seems to have combined analytics and EPM/planning into a single unit.  This is a mistake for several reasons:  (1) EPM and BI are sold to different buyers with different value propositions, (2) EPM is an applications sale, BI is a platform sale, and (3) Platfora’s technology stack, while appropriate for big data applications is not ideal for EPM/planning (ask Tidemark).  Combining the two together puts planning at risk.  Oracle combined their EPM and ERP go-to-market organizations and lost focus on EPM as a result.  While they will argue that they now have more EPM feet on the street, those feet know much less about EPM, leaving them exposed to specialist vendors who maintain a focus on EPM.  ERP is sold to the backward-looking part of finance; EPM is sold to the forward-looking part.  EPM is about 1/10th the market size of ERP.  ERP and EPM have different buyers and use different technologies.  In combining them, expect EPM to lose out.

And, as usual, I must add the bonus prediction that 2017 proves to be a strong year for Host Analytics.  We are entering the year with positive momentum, the category is strong, cloud adoption in finance continues to increase, and the megavendors generally lack sufficient focus on the category.  We continue to be the most customer-focused vendor in EPM, our new Modeling product gained strong momentum in 2016, and our strategy has worked very well for both our company and the customers who have chosen to put their faith in us.

I thank our customers, our partners, and our team and wish everyone a great 2017.

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EPM: Now More Than Ever

The theme of my presentation at past spring’s Host Analytics World was that EPM is needed in fair, foul, or uncertain weather.  While EPM is used differently in fair and foul weather scenarios, it is a critical navigational instrument to help pilot the business.

For example, in tougher times:

  • You’re constantly re-forecasting
  • You’re doing expense reduction modeling
  • You might do a zero-based budget (particularly popular among recently PE-acquired firms)
  • You’re likely to try and reduce capex (unless you see a quick rebound)
  • You’re probably making P&L, budget, and spend authority more centralized in order to keep tighter reins on the company.

In better times:

  • You model and compare new growth opportunities
  • You often build trended budgets more than bottom-up budgets
  • You adopt rolling forecasts
  • You increase capital investment and build for the future
  • You do more strategic initiatives planning
  • You decentralize P&L responsibility

These (and others) are all capabilities of a complete EPM suite.  The point is that you use that suite differently depending on the state of the business and the economy.

Well, now with the surprise election of our 45th President, Donald Trump, we can be certain of one thing:  uncertain times.

  • Will massive investments in infrastructure (including but not limited to, The Wall) happen and what effect will that have on economic growth and interest rates?
  • Will Trump deliver the promise 4% GDP growth that he’s promised or will the economy grow slower?
  • Will promised deregulation happen and if so will it accelerate economic growth?  What effects will deregulation have on key industries like financial services, energy, and raw materials?
  • What, as a result of this and foreign policies, will be the price of a barrel of oil in one year?  What effect will that have on key industries such as transportation?
  • Will Trump spark a trade war, increasing the price imports and reducing the purchasing power of low and middle-income consumers?  What effect might a trade war have on GDP growth?
  • What impact will all this have on financial markets and the cost and availability of capital?

I don’t pretend to know the answers to these questions.  I do know, however, that there is uncertainty about all of these questions– and dozens of others — that will directly impact businesses in their performance and planning.

If you cannot predict the future, you should at least be able to respond to it in agile way.

If your company takes 6 months to make a budget that gets changed once a year, you will be very exposed to surprise changes.  If you run on rolling forecasts, you will be far more agile.  If you have good EPM tools you will able to automate tasks like reporting, consolidation, and forecasting in order to free up time for the now much more important tasks of scenario planning and modeling.

Again, if you can’t know whether oil will be $40, $50, or $70 — you can at least have modeling out all three scenarios in advance so you can react quickly when it moves.

I’ve always been a big believer in planning and EPM.  And, in this uncertain environment, companies need EPM now more than ever.

The New Split CPM Magic Quadrants from Gartner

This week Gartner research vice president John Van Decker and research director Chris Iervolino took the bold move of splitting the corporate performance management (CPM), also known as enterprise performance management (EPM), magic quadrant in two.

Instead of publishing a single magic quadrant (MQ) for all of CPM, they published two MQs, one for strategic CPM and one for financial CPM, which they define as follows:

  • Strategic Corporate Performance Management (SCPM) Solutions – this includes Corporate Planning and Modeling, Integrated Financial Planning, Strategy Management, Profitability Management, and Performance Reporting.
  • Financial Corporate Performance Management (FCPM) Solutions – this includes Financial Consolidation, Financial Reporting, Management Reporting/Costing/Forecasting, Reconciliations/Close Management, Intercompany Transactions, and Disclosure Management (including XBRL tagging)

You can download these new CPM magic quadrants here.

What do I think about this?

  • It’s bold.  It’s the first time to my recollection that an MQ has included product from different categories.  Put differently, normally MQs are full of substitute products — e.g., 15 different types of butter.  Here, we have butter next to olive oil on the same MQ.
  • It’s smart.  Their uber point is that while CPM solutions are now pretty varied, that you can pretty easily classify them into more tactical/financial uses and more strategic uses.  Highlighting this by splitting the MQs does customers a service because it reminds them to think both tactically and strategically.  That’s important — and often needed in many finance departments who are struggling simply to keep up with the ongoing tactical workload.
  • It’s potentially confusing.  You can find not just substitutes but complements on the same MQ.  For example, Host Analytics and our partner Blackline are both on the FCPM MQ.  That’s cool because we both serve core finance needs.  It’s potentially confusing because we do one thing and they do another.
  • We are stoked.  Among cloud pure-play EPM vendors, Host Analytics is the only supplier listed on both MQs.   We believe this supports our contention that we have the broadest pure-play cloud EPM product line in the business.  Only Host has both!
  • In a hype-filled world, I think Gartner does a great job of seeing through the hype-haze and focusing on customers and solutions.  They do a better job than most at not being over-influenced by Halo Effects, and I suspect that’s because they spend a lot of time talking to real customers about solving real problems.

For more, see the Future of Finance blog post on the new MQs or just go ahead and download them here.

Myths of the Headless Company

In the past year or so, two of our competitors have abruptly transitioned their CEOs and both have perpetuated a lot of mythology about what happens and/or will happen in such transitions.  As someone who’s run two startups as CEO for more than a combined ten years, been the “new guy” CEO twice after such transitions, sat on two startup boards as an independent director, and advised numerous startups, I thought I’d do a little myth-busting around some of the common things these companies say to employees and customers when these transitions happen.

“Everythings’s fine, there is no problem.”

If everything were fine, you would not have changed your CEO.  QED.

Houston, there is a problem.

“Uh, the actual problem is we’re doing too well, … so we need to change our the CEO for the next level of growth.”

This reminds me of the job interview response where you say your biggest weakness is perfectionism.

Look, while successful companies do periodically outgrow their executives, you can tell the difference between an organized scale-driven CEO swap out and something going wrong.  How?

Organized transitions are organized.  The CEO and the board agree that the company is scaling beyond the CEO’s abilities.  A search is started.  The new CEO is found.  The old CEO gracefully hands the reins over to the new CEO.  This can and does happen all the time in Silicon Valley because the problem is real and everyone — both the VCs and the outgoing CEO — are all big shareholders and want what’s best for the company, which is a smooth transition.

When a CEO is exited …

  • Abruptly, without notice, over a weekend, …
  • Without a replacement already identified
  • Without even a search firm hired
  • At an awkward time (e.g., a few days before the end of a quarter or a few weeks before the annual user conference)

You can be pretty sure that something went wrong.  What exactly went wrong you can never know.  But you can be sure of thing:  the conversation ended with either “I’m outta here” or “he’s (or she’s) outta here” depending on whether the person was “pushed’ or “jumped.”

“But we did need someone for the next level of growth.”

That’s quite possibly true and the board will undoubtedly use the transition as an attempt to find someone who’s done the next level of growth before.  But, don’t be confused, if the transition is abrupt and disorganized that’s not why the prior CEO was exited.  Something else is going on, and it typically falls into one of three areas:

  • Dispute with the board, including but not limited to disagreements about the executive team or company strategy.
  • Below-plan operating results.  Most CEOs are measured according to expectations set in fundraising and established in the operating plan.  At unicorns, I call this the curse of the megaround, because such rounds are often done on the back on unachievable expectations.
  • Improprieties — while hopefully rare — such as legal, accounting, or employment violations, can also result in abrupt transitions.

“Nothing’s going to change.”

This is a favorite myth perpetuated on customers.  Having been “the new guy” at both MarkLogic and Host Analytics, I can assure you that things did change and the precise reason I was hired was to change things.  I’ve seen dozens of CEO job specs and I’ve never a single one that said “we want to hire a new CEO but you are not supposed to change anything.”  Doesn’t happen.

But companies tell customers this — and maybe they convince themselves it’s true because they want to believe it — but it’s a myth.  You hire a new CEO precisely and exactly to change certain things.

When I joined MarkLogic I focused the company almost exclusively on media and government verticals.  When I joined Host, I focused us up-market (relative to Adaptive) and on core EPM (as opposed to BI).

Since most companies get in trouble due to lack of focus, one of the basic job descriptions of the new-person CEO is to identify the core areas on which to focus — and the ones to cut.  Particularly, as is the case at Anaplan where the board is on record saying that the burn rate is too high — that means cut things.  Will he or she cut the area or geography that most concerns customer X?  Nobody knows.

Nobody.  And that’s important.  The only person who knows will be the new CEO and he/she will only know after 30-90 days of assessment.  So if anyone tells you “they know” that nothing’s going to change, they are either lying or clueless.  Either way, they are flat wrong.  No one knows, by definition.

“But the founder says nothing’s going to change.”

Now that would be an interesting statement if the founder were CEO.  But, in these cases, the founder isn’t CEO and there is a reason for that — typically a lack of sufficient business experience.

So when the founder tells you “nothing is going to change” it’s simply the guy who lacks enough business experience to actually run the business telling you his/her opinion.

The reality is new CEOs are hired for a reason, they are hired to change things, that change typically involves a change in focus, and CEO changes are always risky.  Sometimes they work out great.  Sometimes the new person craters the company.  You can never know.

 

 

 

Host Analytics World 2016 EPM Keynote Address

We’re just finishing up a fantastic Host Analytics World 2016, with over 800 people gathered together in San Francisco to talk about enterprise performance management (EPM).   Here are a few pictures to give you a feel for the event.

Here’s 49ers football legend Steve Young delivering his keynote address:

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Here’s me delivering my keynote on EPM in fair weather and foul.

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Here’s an artsy shot of someone taking a picture during my keynote.

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And, of course, here are our mascots, Tick and Tie, stuffing bags for Project Night Night, the philanthropic activity we had at the conference cosponsored by Host Analytics and our amazing customer, Thrivent Financial.

tick and tie

The conference has been superb and I want to thank everyone — customers, prospective customers, analysts, journalists, pundits, and partners — for being a part of this great event.

I find it amazing that at such a great time to be in the cloud EPM market that we have competitors more focused on business intelligence (BI), predictive analytics, and functional performance management than on core EPM itself.  At Host Analytics, we know who we want to be:  the best vendor in cloud EPM, serving the fat middle 80% of the market.  More importantly, perhaps, we know who we don’t want to be:  we don’t want to be a visual analytics vendor, a social collaboration vendor, or a sales performance management vendor — hence our partnerships with Qlik, Socialcast, and Xactly.

We serve finance, we speak finance, and we’re proud of that.  Oh, and yes, our customers, finance leaders, care about the whole enterprise so we offer not only solutions to automate core finance processes but also tools to model the entire enterprise and align finance and operations.

You can hear about this and other topics by watching the 75 minute keynote speech and demo, embedded below.

 

Finally, please remember to save the date for Host Analytics World 2017 — May 16 through 19, 2017.

nashville

 

SAP Cloud for Analytics: Tilting at Windmills

Back in the early 2000s when I was running marketing at Business Objects, Gartner’s then-lead BI analyst, Howard Dresner (known as the father of BI and the person who named the category) started pushing a notion called enterprise performance management (EPM).  Back then, EPM meant the unification of BI and planning/budgeting.

The argument in favor of EPM made sense and was actually kind of cool:  with BI you could ask any question, but BI never knew the correct answer.  What did that mean?

It meant that BI tools were primarily tied to operational systems and could tell you the value of sales/salesrep for any quarter in any region.  The problem was that BI didn’t know what the answer was supposed to be.  BI knew the cost of everything and the value of nothing.

The solution was tie to BI to financial systems, which were full of targets and thus could allow us not just to know the value of any given metric, but what the value of that metric should be.

It sounded great and I bought in.  More importantly, so did the category:

Then what happened?  In my opinion, pretty much nothing.  Sure Hyperion reps could increase deal sizes by trying to drop Brio licenses across the whole financial department, as opposed to just FP&A.  Cognos could cross-sell Adaytum, with the help of an overlay sales force.

But did integration happen?  No.  BI and financial planning/budgeting  consolidated, but they never converged.  This is interesting because it’s rare.  For example, by contrast, CRM really happened.  SFA vendors didn’t just acquire customer service vendors and marketing vendors — the three applications came together to create one category.

That didn’t happen with EPM.  You could always ask someone who worked at Hyperion my favorite question, “which side did you work on?” and you always heard either, “oh, the BI side,” or “oh, the finance side.”  You never, ever got asked to clarify the question.

Over time, EPM came to mean financial planning, budgeting, and consolidation (along with associated reporting/analytics) — and not the unification of BI and financial planning.

What did this prove?   You can put the two categories under one roof via consolidation, but the actual markets are oil-and-water and don’t mix together well.  Why?  Two reasons:

  • BI is a platform sale, EPM is an applications sale
  • BI is sold to IT, EPM is sold to the finance department

So other than selling to a completely different buyer with a completely different value proposition, they make excellent candidates for integration!  Put concretely, if you can’t talk about inter-company eliminations, AVB reports, AOPs, topside journal entries, long-range models, FX rate handling, and legal entities, then you can’t even start to sell EPM.  I marketed BI for 9 years and we talked a totally different language:  aggregate awareness, multi-pass SQL, slow-changing dimensions, and star schemas.  The two languages are not totally unrelated.  They are nevertheless different.

Despite this history, many vendors still seem hell bent on mixing EPM water with BI oil.  One cloud EPM vendor positioned themselves for years as a leader in “BI and CPM” somehow thinking the rock-bottom acquisition of a cheap scorecarding tool made them a player in the $15B BI market.

To be clear, I view EPM and BI as cousins.  Yes, in EPM we make scorecards, dashboards, and reports.  Yes, in EPM we do multi-dimensional modeling and analysis.  No doubt.  But we do it for finance departments, we tie our planning/budgeting systems to the general ledger and we are focused on both financial outcomes and financial reports.  Yes, we also care about integrating models across the organization — sales, marketing, services, and operations.  But we are not trying to sell generic infrastructure for making reports and visualizations across the enterprise.

Put simply, in EPM we use BI technologies to build financial applications that tie together the enterprise on behalf of the finance department.

Surprisingly, SAP didn’t get the consolidation-not-convergence memo.  This is somewhat amazing given that SAP is a strong player in both BI and EPM, but somehow hasn’t seemed to notice not only that the two markets never converged but also that there is a very good reason for that.  They are still tilting at windmills fighting to integrate two categories not destined for integration with a vintage-2002 message.

Here’s the press release:

SAP Redefines Analytics in the Cloud

WALLDORF — SAP SE (NYSE: SAP) today unveils the SAP Cloud for Analytics solution, a planned software as a service (SaaS) offering that aims to bring all analytics capabilities into one solution for an unparalleled user experience (UX).

Built natively on SAP HANA Cloud Platform, this high-performing, real-time solution plans to be embedded with existing SAP solutions and intends to connect to cloud and on-premise data to deliver planning, predictive and business intelligence (BI) capabilities in one analytics experience. The intent is for organizations to use this one solution to enable their employees to track performance, analyze trends, predict and collaborate to make informed decisions and improve business outcomes.

Note, that in addition to my strategic concerns, I have a few tactical ones as well:

  • This is a futures announcement without a date.  The service “planned.”  The “planned benefits” are stated.  The only thing I can’t find in the plan is an availability date.
  • Pricing hasn’t been announced either.  So other than knowing what it costs and when it will be available, it was an informative announcement.
  • While SAP is claiming that it’s previously announced SAP Cloud for Planning is included in the new offering, I have heard rumors on the street that SAP Cloud for Planning is actually being discontinued and customers will be moved to the new offering.  At this point, I’m not sure which is the case.

In the end, I’m not trying to beat on SAP in general.  I don’t love the Hana branding strategy, that’s true, but Hana itself (i.e., columnar, in-memory database) is a good idea.  I have no problems with SAP BI’s products — heck, my fingerprints still remain lightly on a few of them.  In EPM, we compete with SAP, so my agenda there is obvious.

But the thing I object to, the tilting at windmills, is that they are still banging the unify EPM and BI drum.  SAP’s new analytics may eventually end up a reasonable or good BI solution.  But if they’re betting serious chips on unifying BI and EPM it’s misguided.