Andreessen Horowitz CIO Summit Oct 2012

4. Adoption Rate for New Technologies % Pilot and Scale 46% 47% 32% 26% Big Data and Analytics External data Mobile data Cloud and Virtualization Cost cutting Flexibility SaaS and Collaboration Agility User demand Mobile Management Security (BYOD) Consumer features

5. Disruption in Data & Analytics Improve BI Cycle Time and Cost Hi Query in Plain English Simple Query from Spreadsheets Integrated SaaS-based BI User SelfConfigured Tools In-Memory Databases Open Source DB and BI Traditional Data Marts Low Low Adopted High

6. SaaS Has Room to Grow SaaS Packaged Custom Sales and Marketing 46% 35% 5% HR 32% 36% 3% Customer Service and Support 24% 33% 19% Finance 20% 63% 3% Supply Chain 14% 43% 20% Core Operations 11% 36% 29% R&D 8% 21% 40%

7. CIOs Looking Beyond Mature Players Committed Would Talk/Dating Complicated Not My Type Mature Players 26% 25% 21% 10% 40% 44% Emerging Leaders 31% 36% 36% 5% 28% 4% 54% 54% 2% 40% Pure Plays

8. Relationship Status with Mature Vendors Committed Would Talk/Dating Complicated Not My Type Cloud 19% 27% 4% 49% Mobile 21% 21% 10% 47% Big Data 30% 16% 9% 45% SaaS/Collaboration 32% 19% 16% 34%

9. What is the way forward for CIOs?

Notas del editor

We are seed funded by AHA community of several hundred tech executives committed to accelerating adoption of cheaper, better technologiesRecently launched a beta platform in Sep to disrupt the tech research industry byOffering free, collaborative real time benchmarksUsing this data, not to sell reports, but make connections between peers using a combination of Netflix style collaborative filtering and Dating Site logicThe goal of the platform is to alert people working on same use cases and vendors quickly to avoid delays and replicate successes – the way airline pilots avoid turbulence by radioing pilots aheadOur goal is to make connections with the fewest possible people and messages – anonymously. Less volume and more relevant matching.Formed an editorial board of 60 executives to participate in benchmarking sprints to help maintain the relevance of the database of 300 use cases and 900 vendors.
Since 1990 – 22 years ago the tech sector has come to dominate the economy, now the largest industry weighting in S&P at 19%. Driving sig growth in global GDP.But the majority of this growth comes from consumer technology companies like Amazon, Apple, GoogleIn fact, there is a reverse trickle down affect at play where in 1990 you were first introduced to new technologies at work: Motorola Brick Cellulars, voicemail, email, even PC softwareToday it is just the opposite. The key difference to note is the significant contrast in the way consumers and individuals make purchase and adoption decisions:Patterns of Tech AdoptionEnterpriseAssess ReputationThird party endorsementThink Long-TermAvoid FailureBuyer ≠ UserConsumerTrySwitchFail FastPeer endorsementBuyer = User
Our database tracks over 900 vendors in three categories: 1) mature players 2) emerging leaders, and 3) pure plays. History favors pure playsThey are able to start fresh with new technologies and business modelsThey are rewarded for growth over earningsThey don’t have to protect entrenched legacy profit pools nor contend with legacy fiefdoms internallyAs you will see shortly, when solutions change customers are willing to try new players
Adoption rates for which of our members are either piloting or scaling the following categoriesData is low but the broader category for analytics received the highest “will spend more” percent at 75%Cloud included virtualization which may be why the rate is so highAfter we asked this we realized it was still too broad and decided to create a database that would compare specific use casesMobile management included MDM and security tools and methods
As an example of how we compare the adoption rates, here is a framework we used recently I a benchmarking sprint.Our outcome is to improve BI cycle time and costWe then compare different methods to achieving the outcome based on those of mature players, emerging leaders, and pure plays. We found the highest adoption rates were in the use of datamarts and open source bi toolsSome were dabbling in user configured tools and queries from spreadsheetsBut very few had yet executed In Memory databases of SQL replaced by english queries…This group is now connected and can follow each others progress in the OnCorps private site we setup for this Sprint
The core question here to our members was: what is your target or preferred architecture….No question Sales, marketing and HR are moving the fastestBut we believe others will follow, particularly as mobile and SaaS begin to support neglected sub processes and revitalize user interfaces
Finally, I know the election is top of mind, so we thought we’d make an analogy to the relationship status IT execs see with their vendorsWe asked what your relationship status was by vendor and in 4 categories the four categories mentioned earlier.Committed is represented by Mitt and Ann Romney, would talk or dating is Gary Hart and Donna Rice, Its Complicated is the Clintons, Finally, Not My Type is former NJ Governor Jim McGreeveyWhat’s striking how high the “not my type” is for mature playersIt is also noteworthy that Emerging Leaders command higher commitment levels than Mature Players.And of course the openness to talking with pure plays is quite high at 54%
When looking at the same stats just for Mature vendors by technology, you also see some interesting resultsExecs are more interested in emerging leader cloud providers than hardware and services providers for cloud supportCollab is mixed as many maintain strong commitments to Microsoft

Andreessen Horowitz CIO Summit Oct 2012

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