Category Archives: Host Analytics

The Next Chapter

This morning we announced that Vector Capital has closed the acquisition of Host Analytics.  As part of that transaction I have stepped down from my position of CEO at Host Analytics.  To borrow a line from The Lone Ranger, “my work is done here.”  I’ll consult a bit to help with the transition and will remain a friend of and investor in the company.

A Word of Thanks
Before talking about what’s next, let me again thank the folks who made it possible for us to quintuple Host during my tenure all while cutting customer acquisition costs in half, driving a significant increase in dollar retention rates, and making a dramatic increase in net promoter score (NPS).  Thanks to:

  • Our employees, who drove major productivity improvements in virtually all areas and were always committed to our core values of customer success, trust, and teamwork.
  • Our customers, who placed their faith in us, who entrusted us with their overall success and the secure handling of their enormously important data and who, in many cases, helped us develop the business through references and testimonials.
  • Our partners, who worked alongside us to develop the market and make customers successful – and often the most challenging ones at that.
  • Our board of directors, who consistently worked positively and constructively with the team, regardless of whether we were sailing in fair or foul weather.

We Laid the Groundwork for a Bright Future
When Vector’s very talented PR guy did his edits on the closing press release, he decided to conclude it with the following quote:

Mr. Kellogg added, “Host Analytics is a terrific company and it has been an honor lead this dynamic organization.  I firmly believe the company’s best days are ahead.”

When I first read it I thought, “what an odd thing for a departing CEO to say!”  But before jumping to change it, I thought for a bit.  In reality, I do believe it’s true.  Why do Host’s best days lie ahead?  Two reasons.

First, we did an enormous amount of groundwork during my tenure at Host.  The biggest slug of that was on product and specifically on non-functional requirements.  As a fan of Greek mythology, the technical debt I inherited felt like the fifth labor of Hercules, cleaning the Augean stables.  But, like Hercules, we got it done, and in so doing shored up the internals of a functionally excellent product and transformed our Hyderabad operation into a world-class product development center.  The rest of the groundwork was in areas like focusing the organization on the right metrics, building an amazing demand generation machine, creating our Customers for Life organization, running a world-class analyst relations program, creating a culture based on learning and development, and building a team of strong players, all curious about and focused on solving problems for customers.

Second, the market has moved in Host’s direction.  Since I have an affinity for numbers, I’ll explain the market with one single number:  three.  Anaplan’s average sales price is three times Host’s.  Host’s is three times Adaptive’s.  Despite considerable vendor marketing, posturing, positioning, haze, and confusion to the contrary, there are three clear segments in today’s EPM market.

  • Anaplan is expensive, up-market, and focused primarily on operational planning.
  • Adaptive is cheap, down-market, and focused primarily on financial planning.
  • Host is reasonably priced, mid-market, focused primarily on financial planning, with some operational modeling capabilities.

Host serves the vast middle where people don’t want (1) to pay $250K/year in subscription and build a $500K/year center of excellence to support the system or (2) to pay $25K/year only to be nickeled and dimed on downstream services and end up with a tool they outgrow in a few years.

Now, some people don’t like mid-layer strategies and would argue that Host risks getting caught in a squeeze between the other two competitors.  That never bothered me – I can name a dozen other successful SaaS vendors who grew off a mid-market base, including within the finance department where NetSuite created a hugely successful business that eventually sold for $9.3B.

But all that’s about the past.  What’s making things even better going forward?  Two things.

  • Host has significantly improved access to capital under Vector, including the ability to better fund both organic and inorganic growth. Funding?  Check.
  • If Workday is to succeed with its goals in acquiring Adaptive, all rhetoric notwithstanding, Adaptive will have to become a vendor able to deliver high-end, financial-focused EPM for Workday customers.  I believe Workday will succeed at that.  But you can’t be all things to all people; or, to paraphrase SNL, you can’t be a dessert topping and a floor wax.  Similarly, Adaptive can’t be what it will become and what it once was at the same time – the gap is too wide.  As Adaptive undergoes its Workday transformation, the market will switch from three to two layers, leaving both a fertile opening for Host in mid-market and a dramatically reduced risk of any squeeze play.  Relatively uncontested market space?  Check.

Don’t underestimate these developments.  Both these changes are huge.  I have a lot of respect for Vector in seeing them.  They say that Michelangelo could see the statue within the block of marble and unleash it.  I think Vector has clearly seen the potential within Host and will unleash it in the years to come.

What’s Next?
I don’t have any specific plans at this time.  I’m happily working on two fantastic boards already – data catalog pioneer Alation and next-generation content services platform Nuxeo.   I’ll finally have time to write literally scores of blog posts currently stalled on my to-do list.  Over the next few quarters I expect to meet a lot of interesting people, do some consulting, do some angel investing, and perhaps join another board or two.  I’ll surely do another CEO gig at some point.  But I’m not in a rush.

So, if you want to have a coffee at Coupa, a beer at the Old Pro, or – dare I date myself – breakfast at Buck’s, let me know.

Host Analytics + Vector Capital = Growth

I’m delighted to say that Host Analytics has signed a definitive agreement to be acquired by Vector Capital, a San Francisco private equity (PE) firm with over $4B in capital under management.  Before diving into some brief analysis of the deal, I want to thank Host Analytics customers, employees, partners, investors, and board of directors for everything they’ve done to help make this happen.

Going forward, I expect the company’s top three priorities to be growth, growth, and growth.  Why?  Given a large market opportunity and a company that’s executing well, it’s the right time to add fuel to the tanks.

Large Market Opportunity
To wit:

  • The total available market (TAM) for Host’s enterprise performance management (EPM) products is $12B.
  • The market, somewhat amazingly, remains less than 10% penetrated by cloud solutions, which means there is an enormous on-premises replacement opportunity.
  • The market, equally amazingly, still over-relies on Microsoft Excel for planning, budgeting, reporting – even sometimes stunningly consolidation – which represents an enormous greenfield opportunity.
  • Recent consolidation in the market (e.g., Workday’s acquisition and, in my opinion, up-market hijacking of Adaptive Insights) creates new space in various market segments

Executing Well
Host is wrapping up an excellent 2018 with strong sales growth (e.g., new subscriptions up 50%+ this quarter), record ending annual recurring revenue (ARR), historically high customer satisfaction (i.e., net promoter score), above-benchmark employee satisfaction — and we’ve been doing all that while transitioning to positive cashflow.  On the product front, we’ve been pumping out innovations (e.g., Host MyPlan, Host Dashboards) and have an exciting product roadmap.

Simply put, the company is executing on eight cylinders.  Strong execution plus large opportunity usually calls for one thing:  more fuel.

Shareholder Rotation
Host was well ahead of the market with its vision of cloud-based EPM and raised its first venture capital in 2008.  As some of our early investors are thinking about how to wrap up those funds, it’s the right time for a shareholder rotation where our last-phase investors are able to get liquidity and the company can get new investors who are focused on the next phase, i.e., the next five years of growth and scale.

That’s why I think “shareholder rotation” is the right way to think about this transaction — the old shareholders rotate out and Vector rotates in.  And I should note that our largest shareholder, StarVest Partners, is not rotating entirely out — they will remain a significant shareholder in the company going forward.

In many respects, things won’t change.  Host will remain focused on:

  • Delivering a complete EPM suite
  • Providing solutions for the Office of Finance
  • World-class professional services and support, and our desire to create Customers for Life
  • Partnership, working with other leaders to provide our customers with complete solutions
  • Product innovation, finding novel ways to help finance better partner with the business
  • Core values: trust, customer success, and teamwork

Other things will change.  We’ll see some new faces as we evolve and grow the company.  We’ll get the benefit of Vector’s internal management consultancy (i.e., the value creation team) to help drive best practices.  You should expect to see us accelerate growth through both organic means (e.g., scaling up sales, launching in new geographies) and inorganic means (e.g., follow-on acquisitions).

Thanks to our founder, serial entrepreneur Jim Eberlin, for creating the company.  Thanks to everyone who helped us get here.  Thanks to our board for its foresight and support.  Thanks to Vector for taking us forward.  And thanks to StarVest for coming along for the ride.  Onward, full speed ahead!

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The New 2017 Gartner Magic Quadrants for Cloud Strategic CPM (SCPM) and Cloud Financial CPM (FCPM) – How to Download; A Few Thoughts

For some odd reason, I always think of this scene — The New Phone Book’s Here – from an old Steve Martin comedy whenever Gartner rolls out their new Magic Quadrants (MQ) for corporate performance management (CPM). It’s probably because all of the excitement they generate.

Last year, Gartner researchers John Van Decker and Chris Iervolino kept that excitement up by making the provocative move of splitting the CPM quadrant in two — strategic CPM (SCPM) and financial CPM (FCPM). Never complacent, this year they stirred things up again by inserting the word “cloud” before the category name for each; we’ll discuss the ramifications of that in a minute.

Free Download of 2017 CPM Magic Quadrants

But first, let me provide some links where you can download the new FCPM and SCPM magic quadrants:

Significance of the New 2017 FPCM and SCPM Magic Quadrants

The biggest change this year is the insertion of the word “cloud” in the title of the magic quadrants.  This perhaps seemingly small change, like a butterfly effect, results in an entirely new world order where two of the three megavendors in the category (i.e., IBM, SAP) get displaced from market leadership due to the lack of the credibility and/or sophistication of their cloud offerings.

For example:

  • In the strategic CPM quadrant, IBM is relegated to the Visionary quadrant (bottom right) and SAP does not even make the cut.
  • In the financial CPM quadrant, IBM is relegated to the Challenger quadrant (top left) and SAP again does not even make the cut.

Well, I suppose one might then ask, well if IBM and SAP do poorly in the cloud financial and strategic CPM magic quadrants, then how do they do in the “regular” ones?

To which the answer is, there aren’t any “regular” ones; they only made cloud ones.  That’s the point.

So I view this as the mainstreaming of cloud in EPM [1].  Gartner is effectively saying a few things:

  • Who cares how much maintenance fees a vendor derives from legacy products?
  • The size of a vendor’s legacy base is independent of its position for the future.
  • The cloud is now the norm in CPM product selection, so it’s uninteresting to even produce a non-cloud MQ for CPM. The only CPM MQs are the cloud ones.

While I have plenty of beefs with Oracle as a prospective business partner — and nearly as many with their cloud EPM offerings — to their credit, they have been making an effort at cloud EPM while IBM and SAP seem to have somehow been caught off-guard, at least from an EPM perspective.

(Some of Oracle’s overall cloud revenue success is likely cloudwashing though they settled a related lawsuit with the whistleblower so we’ll never know the details.)

Unlikely Bedfellows:  Only Two Vendors are Leaders in Both FCPM and SCPM Magic Quadrants

This creates the rather odd situation where there are only two vendors in the Leaders section of both the financial and strategic CPM magic quadrants:  Host Analytics and Oracle.  That means only two vendors can provide the depth and breadth of products in the cloud to qualify for the Leaders quadrant in both the FCPM and SCPM MQ.

I know who I’d rather buy from.

In my view, Host Analytics has a more complete, mature, and proven product line – we’ve been at this a lot longer than they have — and, well, oligopolists aren’t really famous for their customer success and solutions orientation.  More infamous, in fact.  See the section of the FCPM report where it says Oracle ranks in the “bottom 25% of vendors in this MQ on ‘overall satisfaction with vendor.’”

Or how an Oracle alumni once defined “solution selling” for me:

Your problem is you are out of compliance with the license agreement and we’re going to shut down the system.  The solution is to give us money.

Nice.

For more editorial, you can read John O’Rourke’s post on the Host Analytics corporate blog.

Download the 2017 FCPM and SCPM Magic Quadrants

Or you can download the new 2017 Gartner CPM MQs here.

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Notes:

[1] Gartner refers to the category as corporate performance management (CPM).  I generally refer to it as enterprise performance management (EPM), reflecting the fact that EPM software is useful not only for corporations, but other forms of organization such as not-for-profit, partnerships, government, etc.  That difference aside, I generally view EPM and CPM as synonyms.

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.

news

  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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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.

Video of my Host Analytics World 2015 Keynote Presentantion

Thanks to the 700+ folks who attended my keynote address at last week’s Host Analytics World 2015 conference in San Francisco.  We were thrilled with the event and thank everyone — customers, partners, and staff — who made it all possible.

Below is a 76-minute video of the keynote presentation I gave at the event. Enjoy!  And please mark your calendars now for next year’s Host Analytics World — May 9 through May 12, 2016 — in San Francisco.

Why Modeling Cloud Matters in EPM and Operational Planning

Two weeks ago, Host Analytics launched an amazing new product called Modeling Cloud.  Built by an elite team of some our most experienced developers, Modeling Cloud represents a breakthrough in cloud enterprise performance management (EPM).

In this post, I’ll discuss why Modeling Cloud matters to customers, to the market, and to the company.

Why Modeling Cloud Matters for Customers

  • Ability to build non-financial models. Planning and budgeting tools are built for planning and budgeting.  As such, you want them tied to the general ledger (GL) so, for example, you can easily get actual vs. plan for periodic reporting.  But that requires a level of financial intelligence that can become cumbersome; in a typical planning system every line needs to tie to an account in the GL, be a debit/credit account type, be associated with a legal entity, and have an associated currency.  That intelligence, which is so wonderful when making budgets, becomes baggage when you just want to build a model — for example, of bookings capacity given productivity and ramping assumptions, or new sales model given advertising spend, conversion, trial, and purchase rates. That’s why most models today are built in Excel and completely disconnected from the financial planning system.
  • Ability to integrate non-financial models. The problem with departmental Excel-based modeling is that everything ends up disconnected from the central financial planning.  Consulting can tell you what happens to billings if you hire 5 more consultants in the East and sales can tell you what happens to bookings if you hire 6 more salesreps in the East, but you need to start mailing spreadsheets around if you want to see the financial outcomes (e.g., revenue, EPS) of such changes.
  • Enterprise-wide scenario analysis. The beauty of connecting departmental modeling to the corporate financial plan is that you can perform enterprise-wide sensitivity analysis.  Say we’re thinking of making a big Eastern region push next year.  When the models all tie to the financial plan, we can see the financial outcomes for the company associated with such a push, and what it means to setting expectations with board and Wall Street.  This captures the real spirit of what is often called driver-based planning.
  • The bookings-to-revenue bridge. Models can help the finance team better forecast revenue because sales tends to be bookings-oriented whereas finance is revenue-oriented.   Everyone knows that given a pipeline of 100 opportunities there can be scores of combinations where sales hits the bookings target, but each one produces different revenue depending on the composition of the orders.   This is also, more subtly, true of sales expense because any given combination will consist of a given set of deals, for a given set of products, by a given set of saleseps, and each product may have different incentives on it, and each salesrep may be in a different stage of acceleration in their compensation plan.  By modeling bookings and doing scenario analysis of various combinations of orders, finance can better predict revenue, expense, and ultimately EPS.  In a world where a minuscule EPS miss can knock off 20% of a company’s valuation in a heartbeat, this is a critical capability.

Why Modeling Cloud Matters to the Market

  • Cloud penetration.  EPM is under penetrated by the cloud, with cloud-penetration of less than 5% today.  That means that 95% of all EPM systems sold in 2014 (between $3-4B worth) were on-premises.  By comparison, sales force automation (SFA) is about 50% cloud-penetrated.  While cloud-based planning and budgeting tools have existed for over 5 years, most cloud vendors are still working on completing their suites, with a handful introducing consolidation only in the past one to two years, and just two vendors offering a modeling engine in the cloud.  While it’s not the only factor hindering cloud penetration, rounding out cloud EPM suites will definitely help accelerate moving EPM to the cloud.
  • Market penetration.  Cloud aside, EPM is an under-penetrated market, overall. A recent survey by Grant Thornton, 40% of companies reported that they weren’t using any EPM system, relying only spreadsheets for FP&A work.  This implies the $3-4B EPM market could nearly double simply by better penetrating target customers.  And the best way to penetrate these companies is not by attacking Excel, but instead to bring an intelligent Excel strategy that makes it easy to import and build both budgets and models that are connected to the financial planning system.

grant

  • Customer penetration.  EPM is under-penetrated within EPM-consumer companies.   Many EPM customers start with a dream of true enterprise-wide planning, but fallback to EPM deployment only within finance and rely on emailed spreadsheets for the “last mile.”  That’s too bad because mailing spreadsheets is both insecure and error-prone.  This situation develops often in on-premises EPM because the hassle of deploying the software across all potential users is simply too high and because the software itself is built for finance not end users.  Cloud EPM — with cloud modeling — will help with improving customer penetration not only because it introduces new reporting and slicer/dicer options, but also because — in the case of our Modeling Cloud product — it introduces the new ability to build and manipulate sub-models which give end users the data they want — and only the data they want — without having to rely on IT for configuration.

Why Modeling Cloud Matters to Host Analytics

  • Unique position.  With Modeling Cloud in the product line, Host Analytics now has the most comprehensive EPM suite in the cloud.  If you look at our primary cloud competitors, one does low-end planning and budgeting, one does visualization and mobile, and the other does cloud modeling but has only both new and functionally thin applications for core finance.
  • The finance choice.  Host Analytics has always been the finance department’s choice when it comes to core EPM (planning, budgeting, consolidation).  That’s because experienced finance people understand the depth and breadth that we bring to the cloud and aren’t interested in buying either unproven solutions or solutions that they will outgrow.
  • The operations choice.  With Modeling Cloud, Host Analytics is now also the operations choice.  Be it sales ops, marketing ops, or services ops, Host Analytics allows ops departments to do the planning and modeling that they require — and to do so in a way that easily integrates with the core financial planning system.  This gives them the best of both worlds — the ability to build any model they could build in Excel, using Excel formulas (and even using an Excel front-end if they so desire) and to do so in a way that automatically integrates with the core financial plan.
  • The best architecture.  Only Host Analytics offers a true multi-dimensional (i.e., OLAP) backend and an architecture built atop cloud-native, dynamic, elastic, NoSQL technology where we deliver phenomenal multi-dimensional analysis and leverage modern/standard components for managing physical storage, sharding, and parallelism.  This provides us with a huge advantage going forward both in terms of productivity and scaleability.

It’s been about 2.5 years since I joined Host Analytics and I’m quite proud of the work done by our entire R&D team in industrializing the core products, introducing a new layer of solutions, and now rolling out the industry’s most innovative cloud-based modeling engine.