How Do You Win With Analytics?
Transcript of How Do You Win With Analytics?
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+