Mais conteúdo relacionado 2. ©2013 Lavastorm Analytics. All rights reserved. 2
Key findings from Lavastorm Analytics’ survey of
more than 600 business analysts, technologists,
data analytics professionals, managers, and C-
level professionals
10. ©2013 Lavastorm Analytics. All rights reserved. 10
In What Area is Your Company Investing in 2013?
CONCLUSION:
Predictive analytics
and Big Data are
driving investment
11. ©2013 Lavastorm Analytics. All rights reserved. 11
What is Your Biggest Challenge in Analytics Today?
QUOTABLE “…understanding what it takes to action findings! Findings
that cannot be acted on are often just “interesting”.”
12. ©2013 Lavastorm Analytics. All rights reserved. 12
What Self-service Analytic Tool are You Currently Using?
CONCLUSION:
Tools for analysis
are fragmented;
People are still
relying on basic
spreadsheets
and databases,
not really
designed for
analytics
13. ©2013 Lavastorm Analytics. All rights reserved. 13
QUOTABLE
“…shortage of true
data scientists
capable of
marrying big data
skills with business
acumen…”
14. ©2013 Lavastorm Analytics. All rights reserved. 14
Conclusions – What You are Facing
Bandwidth/Skills Data Explosion
Need for Speed
16. ©2013 Lavastorm Analytics. All rights reserved. 16
Lavastorm Solves Your Analytic Challenges
Analytic Challenges Lavastorm’s Difference
Skills Gives analysts the power of programmers for analytics
High-level, visual building blocks capture analytic logic
Visualizations and visual models help analysts present results
Data Integration Acquire virtually any source data – no overarching schema
“Precise” control to profile, inspect, transform
Automates processes, including data quality
Agility 10x acceleration of integration and analytic projects
Design, test, debug, and deploy in one place
Trust Visual models expose analytic logic, create audit trail,
building trust with managers/peers
ROI Empowers users for insight discovery, decision
making, process automation
Start small – single toolset goes from desktop to data center
17. ©2013 Lavastorm Analytics. All rights reserved. 17
Questions, Next Steps
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Notas do Editor BANDWIDTH and SKILLS – More analytics are required, but scarce bandwidthDATA EXPLOSION – Analysis of more data and data typesNEED for SPEED – Faster ways to draw insights from the data, ability to explore data more freely Data integration and data quality: Building a new infrastructure Maintaining trustJoining it with traditional BISkills and analytic capabilitiesAnalyticalTechnicalPresentationROI, Getting Value from the Data
