get smart: the present and future of data discovery
TRANSCRIPT
H T Technologies 2013
HOST: Eric Kavanagh
THIS YEAR is…
Data Discovery � Data discovery provides visibility into enterprise
information assets
� Good data discovery delivers intelligence and insight, and great data discovery enables action
� People process information visually—it makes sense to use a BI tool that naturally follows the visual train of thought
ANALYST:
Jaime Fitzgerald Founder & President, Fitzgerald Analytics
ANALYST:
Robin Bloor Chief Analyst, The Bloor Group
GUEST:
Jon Woodward CEO, Neutrino BI TH
E LINE UP
INTRODUCING
Jaime Fitzgerald Architects of Fact-‐Based Decisions™
Data Discovery for Big Insights Jaime Fitzgerald Founder & Managing Partner, Fitzgerald Analy?cs July 17, 2013
Architects of Fact-‐Based Decisions™
8 Data Discovery for Big Insights © 2013 Fitzgerald Analy>cs, Inc. All Rights Reserved
Nice to meet you, I’m Jaime Fitzgerald
Transforming data into dollars for 17 years Founded Fitzgerald Analy?cs in 2005 TwiJer: @jaimefitzgerald @fitzanaly?cs Hashtag: #D2DVC
Focus
§ Created Data to Dollars Value Chain™ framework. § Author of book on the methodology Pub date: early ‘14 via Morgan Kaufmann
Making it Easier to Find Opportuni?es
to turn Data into Results….
….and BeJer Ways to Unlock That Poten?al
Results so Far
9 Data Discovery for Big Insights © 2013 Fitzgerald Analy>cs, Inc. All Rights Reserved
If “Data is the New Oil,” how do we use it well?*
*first included in a report from the World Economic Forum, the phrase ““Data is the New Oil” has since been used widely, in both realis>c and unrealis>c ways.
10 Data Discovery for Big Insights © 2013 Fitzgerald Analy>cs, Inc. All Rights Reserved
§ New Data Source Acquisi>on
§ Data Discovery
§ Data Quality
§ Data Governance
Analysis Insight
§ Decisions
§ Ac>ons
§ Financial Impact
§ New Data
§ New Opportuni>es
Visualizing the Process
3. Results
2. Analysis
1. Data
The Data to Dollars Value Chain™
Naviga?on Tips: 1. Avoid Linearity
(loop back oden)
2. Stay Agile
3. Keep Oriented (“line of sight” / “why am I doing this?)
11 Data Discovery for Big Insights © 2013 Fitzgerald Analy>cs, Inc. All Rights Reserved
Salient Trends in Data Discovery
Trend Implica?on
1. Agile Analy?cs Users need more flexible & efficient tools for rapid-‐cycle, itera>ve analysis
2. Big Data More data, in a variety of formats, is available and needs to be profiled, processed, integrated, and used appropriately
3. Data Visualiza?on Today’s execu>ves, managers, and analysts expect insights to be delivered visually. Data visualiza>on has gone from “nice to have” to “expected.”
12 Data Discovery for Big Insights © 2013 Fitzgerald Analy>cs, Inc. All Rights Reserved
Key Success Factors
1. “Begin with the End in Mind” (Goal-‐Centricity)
2. Agility & Fast Itera?on
3. Take advantage of BOTH 1. “Known Unknowns” and 2. “Unknown Unknowns”
4. Cross-‐Func?onal Collabora?on (IT, Data, Business, Domain Experts)
INTRODUCING
Robin Bloor
A NEW UNIVERSE OF BI? The Self-Service
Dynamic
The Expertise of the BI User
The Future of BI
• End-to-end: from data access to usage
• Performance/timeliness (overall)
• Self-service
The Next Generation of BI is based on:
Self-Service Issues
• Governance & Approval
• Data self-service
• Skills
• Actual efficiency
Self-service & Productivity
The level of self-service, and its usefulness, is not a simple thing. In the BEST of circumstances the user probably
cannot self-design the way their whole job works, so EASE-OF-USE and FLEXIBILITY count.
BI: Of the User, By the User, For the User
The issues in summary: Data flow
integration/automation
Performance/timeliness (overall)
Data coverage: data sources, also structured/
unstructured data
Data cleansing Data access skills
Shareability Actionability Visualizations
Image credit on Slide 2: mhbphoto /123RF Stock Photo
Thank You Robin Bloor [email protected] www.bloorgroup.com
INTRODUCING
Jon Woodward
Smart Data Discovery The next step in visual analy>cs & data discovery
Jon Woodward, CEO, NeutrinoBI
July 16, 2013 | Slide 22
Since 1958… the quest for answers
Database & Data Warehouse
Repor?ng OLAP
Visual Data Discovery Mobile SMART Predic?ve
Big data Data silos Complex fabric Mul>ple devices
1960 1980 2010 2013
July 16, 2013 | Slide 23
What are we searching for?
A tool that will allow ANYONE to…
Ask the RIGHT QUESTION
Get insights that are RIGHT FOR THEM
At the RIGHT TIME to impact today’s decision
Ac?onable insight
July 16, 2013 | Slide 24
Are we nearly there yet?
• S>ll a long-‐way from pervasive BI – adop?on remains at 24%
• 1st genera>on data discovery tools are s?ll difficult to use
• Applica>ons must be built, constrained by today’s thinking
• Designed as ‘one-‐size fits all’
Data Discovery
Dashboards
Predic>ve analy>cs
KPI Alerts Some limited collabora?on
Faceted search In-‐memory
Mobile BI
We’re s>ll falling short of Smart Data Discovery
July 16, 2013 | Slide 25
What would Smart Data Discovery look like?
“Tell me more about…”
“What’s the stock price of…”
“How many units of Widget Y were sold yesterday?...”
“Good morning – the key alerts for your aoen>on today are…”
July 16, 2013 | Slide 26
What are the components of a smart tool?
Ability to ask any ques?on
Beau?ful, clear visual answers
Con>nuously learn from ques>ons & answers
July 16, 2013 | Slide 27
What should ‘Ques>on’ look like?
Allow you to ask any way you want • Voice or touch • Text or type
Understand what you mean • Context • Loca>on
Provide a universe of intelligence to draw from • Big data just another source • Real >me, anywhere
July 16, 2013 | Slide 28
What difference could ‘Learn’ make?
Ask help you to refine
your ques>on
Observe the context
you’re asking from
Listen and take note of the Ques>ons being asked
Expand the picture with Insight from your social network
Alert you to when answers
have changed
Be proac?ve serve up insight based on what you’ve been asking
July 16, 2013 | Slide 29
What does a ‘Beau>ful’ interface look like?
Consistent Immersive Op>mised
July 16, 2013 | Slide 30
All of this AND…
The smart BI tool wouldn’t need you to build an applicaBon interface, or invest in further development every Bme the world of your data discovery changed.
July 16, 2013 | Slide 31
Introducing NeutrinoBI
July 16, 2013 | Slide 32
Just ask!
July 16, 2013 | Slide 33
Interact & Share
July 16, 2013 | Slide 34
Search, discover, share…any>me & anywhere
July 16, 2013 | Slide 35
No applica>on development = rapid implementa>on
July 16, 2013 | Slide 36
How long do I have to wait for Smart Data Discovery?
July 16, 2013 | Slide 37
Next steps…
Visit www.neutrinobi.com
To learn more about NeutrinoBI:
Request a live demo webinar email: [email protected]
See NeutrinoBI in ac>on
For POC in less than a day, email: [email protected]
Discover the benefits of NeutrinoBI on your data
July 16, 2013 | Slide 38
Accelerate your discoveries
The Archive Trifecta: • Inside Analysis www.insideanalysis.com • SlideShare www.slideshare.net/InsideAnalysis • YouTube www.youtube.com/user/BloorGroup
THANK YOU!