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How Do You Win With Analytics?

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73% of analysts did not know what big data tools were being used Analytics is Growing Despite Difficulties Taking Action on Insights or Building Trust in Insights The World is Dividing into Big Data “Haves” and “Have Nots” How Do You Win With Analytics? Where should you target your investments? What is your biggest challenge in analytics today? Companies with big data projects in production are investing more in big data How would you describe your company’s investments in analytics (tools, people, data sources, etc.) in 2014? (responses by those indicating their company has several big data projects "in production" - people, data sources, etc.) What area is your company investing in 2014? In what area is your company investing in 2014? The majority of companies have not taken the big data plunge. Describe the maturity of your company’s current efforts to use big data tools such as Hadoop or to analyze big data sources Learning or Planning 31.1% Experimenting 23.0% Not Participating 20.9% In Production 12.6% Don’t Know 12.4% Most business analysts rely on general purpose business tools for analytics - likely leading to difficulties in taking action and building trust. About Lavastorm Analytics Lavastorm Analytics is the agile data management and analytics company trusted by enterprises seeking an analytic advantage. For more information, please visit: http://ww2.lavastorm.com/Analytics-2014-Survey.html. To download a desktop edition of the Lavastorm Analytics Engine, our data analytics software for business analysts, please visit www.lavastorm.com/resources/software-downloads-trials . 48% of respondents are working toward data quality, a significant increase over the 27% that reported working on data quality last year. Turning Insights to Action 20.5% Gleaning Insights from the Data 16.3% Manipulating/ Integrating Data 15.2% Building Trust in Insights 13.8% Microsoft Excel SQL Microsoft Access 78.3% 53.8% 42.5% Business Analysts 72.4% 45.5% 36.6% Microsoft Excel SQL R Overall Predictive Analytics Dashboards Big Data Reporting Data Management (Including Integration, Quality, ETL, and Enrichment) Big Data Key findings from Lavastorm Analytics’ survey of 495 active participants in the analytics community, including business analysts, technologists, data analytics professionals, managers, and C-level executives 64.4% indicate their company is investing more in 2014 According to the survey, respondents use more than 4 analytics tools each 59.0 % 43.8 % 43.5 % 37.9 % Those “In Production” Those “In Planning or Experimenting” 66.1% 45.5% Predictive Analytics 61.3% 56.4% Dashboards 41.9% 36.1% Reporting 37.1% 35.7% Big Data Is Currently the Domain of the Data Scientist, But Needs More Business Involvement for Long-term Success Data Quality Concerns On the Rise 2013 2014 77.4% indicate their company is investing more in 2014. 48 % 27 % The complexity of analytics is shown in the tools used for analysis 4+
Transcript

73% of analysts did not know what big data tools were being used

Analytics is Growing Despite Difficulties Taking Action on Insights or Building Trust in Insights

The World is Dividing into Big Data “Haves” and “Have Nots”

How Do You WinWith Analytics?

Where should you target your investments?

What is your biggest challenge in analytics today?

Companies with big data projects in production are investing more in big dataHow would you describe your company’s investments in analytics (tools, people, data sources, etc.) in 2014? (responses by those indicating their company has several big data projects "in production" - people, data sources, etc.)

What area is your company investing in 2014?

In what area is your company investing in 2014?

The majority of companies have not taken the big data plunge.Describe the maturity of your company’s current e�orts to use big data tools such as Hadoop or to analyze big data sources

Learning or Planning 31.1%

Experimenting 23.0%

Not Participating 20.9%

In Production12.6%

Don’t Know12.4%

Most business analysts rely on general purpose business tools for analytics - likely leading to difficulties in taking action and building trust.

About Lavastorm Analytics

Lavastorm Analytics is the agile data management and analytics company trusted by enterprises seeking an analytic advantage.

For more information, please visit: http://ww2.lavastorm.com/Analytics-2014-Survey.html.

To download a desktop edition of the Lavastorm Analytics Engine, our data analytics software for business analysts, please visit www.lavastorm.com/resources/software-downloads-trials.

48% of respondents are working toward data quality, a signi�cant increase over the 27% that reported working on data quality last year.

Turning Insightsto Action

20.5%Gleaning Insights

from the Data

16.3%Manipulating/

Integrating Data

15.2%Building Trust

in Insights

13.8%

Microsoft Excel

SQL

Microsoft Access

78.3%

53.8%

42.5%

Business Analysts

72.4%

45.5%

36.6%

Microsoft ExcelSQL

R

Overall

Predictive Analytics Dashboards Big DataReporting

Data Management(Including Integration,

Quality, ETL, and Enrichment)

Big Data

Key �ndings from Lavastorm Analytics’ survey of 495 active participants in the analytics community, including business analysts, technologists, data

analytics professionals, managers, and C-level executives

64.4% indicate their company is investingmore in 2014

According to the survey, respondents use more than 4 analytics tools each

59.0%

43.8%

43.5%

37.9%

Those “In Production”

Those “In Planningor Experimenting”

66.1

%

45.5

%

PredictiveAnalytics

61.3

%

56.4

%

Dashboards

41.9

%

36.1

%

Reporting

37.1

%

35.7

%

Big Data Is Currently the Domain of the Data Scientist, But Needs More Business Involvement for Long-term Success

Data Quality Concerns On the Rise

2013 2014

77.4% indicate their company is investing more in 2014.

48%27%

The complexity of analytics is shown in the tools used for analysis

4+

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