Trends in Big Data Discovery and Analytics! Summary Results! November 2014!

Transcription

1 Trends in Big Data Discovery and Analytics! Summary Results! November 2014!

2 Program Overview! In October and November 2014, Gatepoint Research invited selected marke=ng and technology execu=ves to par=cipate in a survey themed Trends in Big Data Discovery and Analy4cs. Candidates were invited via and 105 execu=ves par=cipated. Management levels represented by survey responders are predominantly senior decision makers: 15% held the =tle CxO, 14% were VPs, 65% were Directors, and 6% were Managers. Survey par=cipants represent the healthcare (45%), retail trade (36%), and manufacturing (19%) industries. Responders work for firms with revenues in excess of $500 million: 46% between $500 million and $1.5 billion and 54% in the Fortune 1, % of responders par=cipated voluntarily; none were engaged using telemarke=ng. Summary Results! November 2014!

3 Observations and Conclusions! An incredible 75% of marke=ng and technology execu=ves surveyed report that it takes more than a day to wrangle their data sets to the point where they can visually analyze them; of those, fully 23% say it takes more than a week. Demand for data analy=cs is driven largely by a need for bezer informed decision making (91%). Also cited as drivers were the need to bezer understand the customer (64%), mone=zing data (59%), and blending data from diverse sources (55%). Poor integra=on (61%) and lack of data exper=se (59%) were among the reasons claimed to impede making full use of data. 57% rate their sophis=ca=on with data discovery and analy=cs as average or below. When it comes to sharing, discussing or collabora=ng on data & insights with other teams, most responders s=ll rely on and M- S Excel (79%) or dashboards and conference calls (62%). 63% of surveyed organiza=ons say their BI/analy=cs team is fewer than 10 people. Given this, not surprisingly, 80% report that internal customers don t get the informa=on they need as soon as they need it. Summary Results! November 2014!

4 How would you describe what you do with data/data intelligence?! I analyze it 68% I help capture and present it 57% I manipulate it 45% I mostly just consume it 30% Other 1% 0% 10% 20% 30% 40% 50% 60% 70% 80% 68% of survey responders analyze their data; 57% capture Summary and present Results it; 45%! November actually 2014! manipulate it.!

5 How long does it typically take you to "wrangle" disparate data sets so that you can visually analyze them?! 1 to 7 Days 52% More than a week 23% 7 to 21 Days 20% 0 to 24 Hours 25% Month or More 3% 75% report that it takes more than a day to wrangle their data sets to the point where they can visually analyze them; of that, fully 23% say it takes more than a week.! Summary Results! November 2014!

6 What is driving your demand for better data analytics?! BeZer- informed decision making 91% BeZer understanding of the customer 64% Iden=fying new revenue opportuni=es/mone=zing data 59% Needing to blend diverse data from different sources 55% Deeper interac=ve exploratory analysis 41% Empowering LOB users to do more with less involvement from IT 40% 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% Demand for data analytics is driven largely by a need for better informed decision making (91%). Understanding the customer (64%), monetizing data (59%) and blending data from diverse Summary sources Results (55%)! are November also strong 2014! drivers.!

7 What s holding you back from getting more out of your data?! SILOS: Systems don t integrate well 61% STAFF: Don t have the data jockeys/experts 59% TIME: Can manipulate it myself, but too =me consuming 47% CONFIDENCE: Never sure data is blended properly or insights accurate 16% POLITICS: Have the data but no manage- ment buy- in to leverage it 12% 0% 10% 20% 30% 40% 50% 60% 70% Lack of integration (61%) and expertise (59%) are the main Summary impediments Results to! making November full use 2014! of data.!

8 How would you characterize your level of sophistication with data discovery and analytics? (Rate on a scale of 1 to 5, 1=I m in first grade, 5=I m a ninja)! 35% 30% 32% 31% 25% 20% 20% 15% 10% 10% 5% 5% 0% 1 I'm in first grade I'm a ninja 57% rate their sophistication with data discovery Summary and Results analytics! November as average 2014! or below.!

9 When you need to share, discuss or collaborate on data and insights with other teams, how do you currently do it?! and Excel documents 79% Dashboards and conference calls 62% Synch and share (ie Dropbox/ Box- like) applica=ons 28% Other 8% We don t really share 3% 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% Most responders rely on and excel (79%) or dashboards and conference Summary calls Results (62%)! November to share and 2014! collaborate on data.!

10 How large is the team that supports BI/analytics/reporting in your organization?! 70% 63% 60% 50% 40% 30% 24% 20% 10% 9% 3% 0% Zero to to to % of surveyed organizations say their BI/analytics team is fewer than 10 people. At the other extreme, Summary 24% Results have! teams November of more 2014! than 20 people.!

11 How quickly do your internal customers (business stakeholders) get the information they need to make decisions?! Not soon enough 23% Not sure 7% As soon as they need it 13% Weeks 14% Days 43% 80% report that internal customers don t get the information Summary they Results need! as November soon as they 2014! need it.!

12 Profile of Responders: Industry Sectors! Manufacturing 19% Healthcare 45% Retail Trade 36% Three sectors were predominantly represented, healthcare, Summary Results retail trade,! November and manufacturing.! 2014!

13 Profile of Responders: Revenue! >$1.5billion, 54% $500 million - $1.5 billion 46% 54% are in the Fortune 1000.! Summary Results! November 2014!

14 Profile of Responders: Job Level! CxO, 15% VP, 14% Director, 65% Manager, 6% Functionally, BI is mostly happening at the Director level.! Summary Results! November 2014!

15 A Gartner Cool Vendor in Big Data for 2014, ClearStory Data is bringing next- genera=on Data Intelligence to everyone, in order to accelerate the way businesses get answers across any number of data sources. By drama=cally simplifying data access to internal and external sources, harmonizing disparate data on- the- fly, and enabling fast, collabora=ve explora=on, ClearStory Data s end- to- end solu=on includes an integrated plaoorm and incredibly simple user applica=on. The company is backed by Andreessen Horowitz, DAG Ventures, Google Ventures, Khosla Ventures, and Kleiner Perkins Caufield & Byers (KPCB). To keep up with how the world is becoming more Data Intelligent, visit: Summary Results! November 2014!