SlideShare a Scribd company logo
1 of 45
Download to read offline
Dr. Holger Kisker
VP & Research Director, Forrester Research
Data-Driven is Passé: Transform Into
An Insights-Driven Enterprise
Dr. Anastasio Molano
Senior VP, Strategic Technical Office, Denodo
Nov 19, 2015
Agenda
01. Transforming insights-to-action with “systems of insight”
02. Data virtualization as a key enabler for “systems of insight”
Dr. Holger Kisker
VP & Research Director, Forrester Research
Transforming Insights-to-Action
with “Systems of Insight”
© 2015 Forrester Research, Inc. Reproduction Prohibited 4
Empowered customers create urgency
Age of
manufacturing
Age of
distribution
Age of
information
Age of
the customer
Empowered buyers
demand a new level of
customer obsession
© 2015 Forrester Research, Inc. Reproduction Prohibited 5
This is the world we live in …
© 2015 Forrester Research, Inc. Reproduction Prohibited 6
and everything’s increasingly connected
7© 2015 Forrester Research, Inc. Reproduction Prohibited
Key trend: selling an outcome
Used to sell:
› Electricity
› Aero engines
› Air conditioning units
› Lifts/Elevators
› Cars
› Agricultural machinery
› Medical testing devices
› Health insurance
› Toothbrush
› Your traditional business
Now sell, or may in future:
› Energy Services
› Units of propulsion
› The right temperature
› Moving people/goods up/down
› Ability to get from A to B
› Optimum yields
› Number of tests
› Wellness program
› Healthy mouth and teeth
› New outcome based business
8© 2015 Forrester Research, Inc. Reproduction Prohibited
Data and analytics are all the rage
Base: 3,005 business and technology decision-makers Source: Forrester’s Global Business Technographics® Data And Analytics Survey, 2015
65% of firms will be
using big data
analytics to optimize
digital experiences.
49% of firms view
improving the use of
data and analytics as
a business priority.
45% of firms have
appointed a chief
data officer.
9© 2015 Forrester Research, Inc. Reproduction Prohibited
But most firms don’t consistently turn
data into action
Source: Forrester Business Technographics®, Data & Analytics Survey, 2015
All possible data All possible actions
73% 29%
of firms
aspire to be
data-driven
of firms are
good at turning
data into action
© 2015 Forrester Research, Inc. Reproduction Prohibited 10
There’s a better way to do it.
Stitch Fix embeds insights into
everything
Stitch Fix has embedded insights-to-
execution in their operating model
A Chief Algorithmics Officer drives the
insights process and strategy
Stitch Fix is in a constant state of controlled
experimentation.
The result: better customer experiences . . .
. . . And half the inventory carrying costs of
other online fashion retailers
© 2015 Forrester Research, Inc. Reproduction Prohibited 12
An insights-driven business
harnesses insights to consistently
turn data into effective action.
© 2015 Forrester Research, Inc. Reproduction Prohibited 13
Insights-driven businesses
systematically turn data into action
Applications DecisionsProcesses
© 2015 Forrester Research, Inc. Reproduction Prohibited 14
Insights fuel your entire business
Digital
customer
experiences
Digital
operational
excellence
Consider how Tesla’s creates an insight
drive experience
• Improve CX by fixing
problems before they
happen.
• Team works together
to turn data into
action.
• Insights services let
engineers find and
test insights.
• Developers
implement insights
firmware (create
action).
Pipeline
Insights services
Engineers Firmware
developers
Data
scientists
Data
engineers
© 2015 Forrester Research, Inc. Reproduction Prohibited 16
What are Stitch Fix and Tesla
doing that’s so unique?
© 2015 Forrester Research, Inc. Reproduction Prohibited 17
A System Of Insight - The
business discipline and
technology to harness insights
and consistently turn data into
action.
A system of insight is an operating model:
people, process, & technology working
together
All Data Possible
Actions
Insights-to-execution
process
Insights team
Digital insights
architecture
Right
data
Effective
actions
Source: April 27, 2015, “Digital Insight Is The New Currency Of Business” Forrester report
© 2015 Forrester Research, Inc. Reproduction Prohibited 19
Best Practice #1
› Key success factor - can you answer the following:
What’s the real question? Which objective are we aiming
to meet? What problem are we trying to solve? How does an
individual initiative fit into the overall business strategy?
Build Multidisciplinary Insights Teams
© 2015 Forrester Research, Inc. Reproduction Prohibited 20
Business leader Manages the team to optimize a specific
business outcome
Technology
leader
Responsible for testing, implementation, and
architecture
Domain experts Recognizes insights worth the investment
Developers Test and implement insights in software and
business rules
Data scientists Build models and exercises them to reveal
potential insights
Data engineers Gathers, assesses, integrates, prepares, and
manages data
Source: April 27, 2015, “Digital Insight Is The New Currency Of Business” Forrester report
Implement multidisciplinary teams using agile
techniques
Complementwithexternalteamplayers
And you’ll have several of them
Source: April 27, 2015, “Digital Insight Is The New Currency Of Business” Forrester report
© 2015 Forrester Research, Inc. Reproduction Prohibited 22
Best Practice #2
› Key success factors:
• Recognize the importance of data “housekeeping”
• Break down silos, and don’t allow data – and data
governance - to become a tech responsibility
PUT A SOLID GOVERNANCE
FOUNDATION IN PLACE
Data governance organizations must define and
optimize operational processes
Information
Security
Information
Standardization
Information
Quality
Information
Life Cycle
Governance Recommendations
1. Accept the fact that process improvement and data
governance are intimately linked and must work hand-in-
hand.
2. Involve executive sponsorship and support from IT and LoB
(align business process and data stewards).
3. Evangelize the benefits of data governance in the language
of the business, it’s NOT about the data.
4. Tackle data governance in a phased approach.
5. Establish a consistent approach and continuous
improvement process for all elements of data governance.
6. Make data governance your default approach to all process
and data related initiatives.
© 2015 Forrester Research, Inc. Reproduction Prohibited 25
Best Practice #3
› Key success factors:
• Shift focus from data to business outcomes
• Aim to implement flexible data platforms
Combine The Right Tools & Processes
Into Systems Of Insights
© 2015 Forrester Research, Inc. Reproduction Prohibited 26
Build/buy/subscribe to insights platforms
Insights-driven
applications
• Sales and marketing
• Operations
• Product design
• … lots more
Insights
fabric
• Services framework
• Data Virtualization
• Big data management
• Cloud data & insights services
Data feed
management
Execution
engines
Data science
workbench
Collaboration
and governance
tools
Source: April 27, 2015, “Digital Insight Is The New Currency Of Business” Forrester report
© 2015 Forrester Research, Inc. Reproduction Prohibited 27
What’s different about systems of
insight?
The same
› The need for all the data
› Insights discovery
› Most of the technology
› Most skills & investment
Different
› Insights teams are
multidisciplinary and embedded
in operations.
› Insights aren’t insights until
proven valuable and
implemented in software and
customer engagement.
› The digital insights architecture
extends into collaboration,
execution, feedback, and
insights fabric.
© 2015 Forrester Research, Inc. Reproduction Prohibited 28
Your best strategy – use SoI to engage
Source: April 27, 2015, “Digital Insight Is The New Currency Of Business” Forrester report
© 2015 Forrester Research, Inc. Reproduction Prohibited
We are in a new data/insights economy
1. Old World of Corp. Data
2: New
World of
Customer
Data
3: Next
World of
Internet Data
4: Future
World of
Data
Economy
Data
Virtualization
integration
analysis
© 2015 Forrester Research, Inc. Reproduction Prohibited 30
We are talking about a disruptive shift
Winners
Losers
› Firms that treat big data as an IT function
› Firms without the willpower to democratize data and insight
› Vendors focused on closed insights technology systems
› Firms that link data to action through digital insights
› Insights-driven business service companies
› Service providers building insights competencies
› Vendors building digital insights ecosystems
Data-driven
Insights-driven
Dr. Anastasio Molano
Senior VP, Strategic Technical Office, Denodo
Data Virtualization As a Key Enabler for
“Systems of Insight”
Agenda
01. What is Data Virtualization?
02. Reference Architecture – Data Virtualization
03. Customer Examples
© 2014 Denodo Confidential
What is Data Virtualization?
■ Data integration but… modern, agile and real-time
■ Abstraction + data services layer
© 2014 Denodo Confidential
Data Services
Agile BI &
Agile Apps
Optimized
Performance
Any Data,
Anywhere
Integrate New
Sources
BI
/Reporting
Analytics Visualization
Data
SharingApplication
Data Virtualization is Essential to Modern
BI and Data Architecture
© 2014 Denodo Confidential
Data Virtualization: Key Capabilities
Capability Key Takeaway
1 Agile Data Access Rapid access to internal and external sources
2 Logical Abstraction Virtualize physical data into logical views
3 Combine Structured and
Unstructured Data
Semantic integration of disparate data types
4 Data Services Provision in many formats with controlled security
and service levels
5 Unified Data Governance Search, explore, query canonical data with lineage
© 2014 Denodo Confidential
Data Virtualization: Use Cases
AGILE BUSINESS INTELLIGENCE
Replaced traditional Operational BI with the
Logical Data Warehouse.
Transitioned from old perpetual licensing model
to a new subscription-based licensing model.
AGILE SINGLE VIEW APPLICATIONS
Created ‘Unified Desktop’ that provides
integrated customer information.
Achieved customer satisfaction index of over
94%.
BIG DATA, CLOUD INTEGRATION
Created virtual layer to abstract access to
Salesforce.com; creating data lake abstraction.
Successfully reduced application licensing costs.
DATA SERVICES
Delivered commercial products developed using
data services.
Achieved faster time-to-market and increased
revenue.
© 2014 Denodo Confidential
Data Virtualization Architecture
© 2014 Denodo Confidential
The “Logical Data Warehouse”
Operational
Production
Systems
Data Warehouse
Data Virtualization Layer
…
Business
Intelligence Tools
External &
Unstructured Data
(SaaS, Web, docs, …)
Up-to-date
data
DV Cache
Analytical
Appliances,
Big Data,
NoSQL
© 2014 Denodo Confidential
Customer Example – Single Customer View
© 2014 Denodo Confidential
Customer Example – Logical Data Warehouse
© 2014 Denodo Confidential
DV Enabling Big Data
Data Virtualization
Hadoop
SQL Engines
E
T
L
BI / Reporting
Analytics
Enterprise
Systems
Web, Cloud and SaaS
IBM Big SQL
Hadoop
© 2014 Denodo Confidential
Customer Example: Telematics and
Predictive Maintenance
Dealer
Maintenance
Parts Inventory
OSI PI Hadoop Cluster
Tableau: Dealer / Customer Dashboard
© 2014 Denodo Confidential
Denodo at a Glance
Denodo offers unified access to corporate data assets, flexible integration and management of data of all
kinds, and real time data delivery for applications and analytics in a single solution that doesn't need to
move data from their original physical repositories.
Investors
$7B
Private Equity firm.
Headquarters
Palo Alto, CA. Main offices in New
York, London, Madrid and A Coruña.
Satellite offices in Chicago, Boise,
Houston and Munich. Worldwide sales
network through partners.
Leadership
Longest continuous focus on
data virtualization and data
services. Product leadership.
Solutions expertise.
Customers
250+ customers,
including many F500 and
G2000 companies across key
verticals, such as healthcare,
life sciences, technology,
media, telecommunications,
insurance, financial services,
consumer/retail, energy and
public sector. Global presence
with customers throughout
North America, EMEA, APAC
and Latin America.
Financials
2014 Growth: +71%.
Solid growth projected for 2015: >100%.
© 2014 Denodo Confidential
Next steps…
■ Contact us:
www.denodo.com/action/contact-us/en/
■ Download Denodo Express, the free data
virtualization tool: www.denodoexpress.com
■ Follow us:
© Copyright Denodo Technologies. All rights reserved
Unless otherwise specified, no part of this PDF file may be reproduced or utilized in any for or by any means, electronic or mechanical,
including photocopying and microfilm, without prior the written authorization from Denodo Technologies.
Thanks!
www.denodo.com info@denodo.com
Dr. Holger Kisker
hkisker@forrester.com
Twitter: @hkisker
Dr. Anastasio Molano
amolano@denodo.com

More Related Content

What's hot

Hortonworks laurie maclachlan
Hortonworks laurie maclachlanHortonworks laurie maclachlan
Hortonworks laurie maclachlanBigDataExpo
 
¿En qué se parece el Gobierno del Dato a un parque de atracciones?
¿En qué se parece el Gobierno del Dato a un parque de atracciones?¿En qué se parece el Gobierno del Dato a un parque de atracciones?
¿En qué se parece el Gobierno del Dato a un parque de atracciones?Denodo
 
Modern Data Management
Modern Data ManagementModern Data Management
Modern Data ManagementSAP Technology
 
data-to-insight-to-action-taking-a-business-process-view-for-analytics-to-del...
data-to-insight-to-action-taking-a-business-process-view-for-analytics-to-del...data-to-insight-to-action-taking-a-business-process-view-for-analytics-to-del...
data-to-insight-to-action-taking-a-business-process-view-for-analytics-to-del...Sokho TRINH
 
Jads arjan van den born
Jads arjan van den bornJads arjan van den born
Jads arjan van den bornBigDataExpo
 
Cloud and business agility
Cloud and business agilityCloud and business agility
Cloud and business agilityMike ORourke
 
Accenture big-data
Accenture big-dataAccenture big-data
Accenture big-dataPlanimedia
 
The Data Operating System: Changing the Digital Trajectory of Healthcare
The Data Operating System: Changing the Digital Trajectory of HealthcareThe Data Operating System: Changing the Digital Trajectory of Healthcare
The Data Operating System: Changing the Digital Trajectory of HealthcareDale Sanders
 
How to use your data science team: Becoming a data-driven organization
How to use your data science team: Becoming a data-driven organizationHow to use your data science team: Becoming a data-driven organization
How to use your data science team: Becoming a data-driven organizationYael Garten
 
How a Data-Driven Culture Improves Organizational Performance
How a Data-Driven Culture Improves Organizational Performance How a Data-Driven Culture Improves Organizational Performance
How a Data-Driven Culture Improves Organizational Performance Tableau Software
 
Slides: Five Data Valuation Pillars
Slides:  Five Data Valuation PillarsSlides:  Five Data Valuation Pillars
Slides: Five Data Valuation PillarsJohn Furrier
 
Data Discovery and Governance
Data Discovery and GovernanceData Discovery and Governance
Data Discovery and Governanceibi
 
Mergers, acquisitions, and partnerships dramatically reducing it consolidati...
Mergers, acquisitions, and partnerships  dramatically reducing it consolidati...Mergers, acquisitions, and partnerships  dramatically reducing it consolidati...
Mergers, acquisitions, and partnerships dramatically reducing it consolidati...Health Catalyst
 
DataOps - Big Data and AI World London - March 2020 - Harvinder Atwal
DataOps - Big Data and AI World London - March 2020 - Harvinder AtwalDataOps - Big Data and AI World London - March 2020 - Harvinder Atwal
DataOps - Big Data and AI World London - March 2020 - Harvinder AtwalHarvinder Atwal
 
Improving the Business of Healthcare through Better Analytics
Improving the Business of Healthcare through Better Analytics Improving the Business of Healthcare through Better Analytics
Improving the Business of Healthcare through Better Analytics Pentaho
 
Big Data Trends and Challenges Report - Whitepaper
Big Data Trends and Challenges Report - WhitepaperBig Data Trends and Challenges Report - Whitepaper
Big Data Trends and Challenges Report - WhitepaperVasu S
 
The Economic Value of Data: A New Revenue Stream for Global Custodians
The Economic Value of Data: A New Revenue Stream for Global CustodiansThe Economic Value of Data: A New Revenue Stream for Global Custodians
The Economic Value of Data: A New Revenue Stream for Global CustodiansCognizant
 
Building an Intelligent Supply Chain Frankfurt Supply Chain Interests Group 2002
Building an Intelligent Supply Chain Frankfurt Supply Chain Interests Group 2002Building an Intelligent Supply Chain Frankfurt Supply Chain Interests Group 2002
Building an Intelligent Supply Chain Frankfurt Supply Chain Interests Group 2002Michael Cairns
 
The Data Effect: Canadian Big Data & Analytics Update - Dr. Alison Brooks Dir...
The Data Effect: Canadian Big Data & Analytics Update - Dr. Alison Brooks Dir...The Data Effect: Canadian Big Data & Analytics Update - Dr. Alison Brooks Dir...
The Data Effect: Canadian Big Data & Analytics Update - Dr. Alison Brooks Dir...CityAge
 

What's hot (20)

Hortonworks laurie maclachlan
Hortonworks laurie maclachlanHortonworks laurie maclachlan
Hortonworks laurie maclachlan
 
Information Security Forum (ISF) Congress 2013
Information Security Forum (ISF) Congress 2013 Information Security Forum (ISF) Congress 2013
Information Security Forum (ISF) Congress 2013
 
¿En qué se parece el Gobierno del Dato a un parque de atracciones?
¿En qué se parece el Gobierno del Dato a un parque de atracciones?¿En qué se parece el Gobierno del Dato a un parque de atracciones?
¿En qué se parece el Gobierno del Dato a un parque de atracciones?
 
Modern Data Management
Modern Data ManagementModern Data Management
Modern Data Management
 
data-to-insight-to-action-taking-a-business-process-view-for-analytics-to-del...
data-to-insight-to-action-taking-a-business-process-view-for-analytics-to-del...data-to-insight-to-action-taking-a-business-process-view-for-analytics-to-del...
data-to-insight-to-action-taking-a-business-process-view-for-analytics-to-del...
 
Jads arjan van den born
Jads arjan van den bornJads arjan van den born
Jads arjan van den born
 
Cloud and business agility
Cloud and business agilityCloud and business agility
Cloud and business agility
 
Accenture big-data
Accenture big-dataAccenture big-data
Accenture big-data
 
The Data Operating System: Changing the Digital Trajectory of Healthcare
The Data Operating System: Changing the Digital Trajectory of HealthcareThe Data Operating System: Changing the Digital Trajectory of Healthcare
The Data Operating System: Changing the Digital Trajectory of Healthcare
 
How to use your data science team: Becoming a data-driven organization
How to use your data science team: Becoming a data-driven organizationHow to use your data science team: Becoming a data-driven organization
How to use your data science team: Becoming a data-driven organization
 
How a Data-Driven Culture Improves Organizational Performance
How a Data-Driven Culture Improves Organizational Performance How a Data-Driven Culture Improves Organizational Performance
How a Data-Driven Culture Improves Organizational Performance
 
Slides: Five Data Valuation Pillars
Slides:  Five Data Valuation PillarsSlides:  Five Data Valuation Pillars
Slides: Five Data Valuation Pillars
 
Data Discovery and Governance
Data Discovery and GovernanceData Discovery and Governance
Data Discovery and Governance
 
Mergers, acquisitions, and partnerships dramatically reducing it consolidati...
Mergers, acquisitions, and partnerships  dramatically reducing it consolidati...Mergers, acquisitions, and partnerships  dramatically reducing it consolidati...
Mergers, acquisitions, and partnerships dramatically reducing it consolidati...
 
DataOps - Big Data and AI World London - March 2020 - Harvinder Atwal
DataOps - Big Data and AI World London - March 2020 - Harvinder AtwalDataOps - Big Data and AI World London - March 2020 - Harvinder Atwal
DataOps - Big Data and AI World London - March 2020 - Harvinder Atwal
 
Improving the Business of Healthcare through Better Analytics
Improving the Business of Healthcare through Better Analytics Improving the Business of Healthcare through Better Analytics
Improving the Business of Healthcare through Better Analytics
 
Big Data Trends and Challenges Report - Whitepaper
Big Data Trends and Challenges Report - WhitepaperBig Data Trends and Challenges Report - Whitepaper
Big Data Trends and Challenges Report - Whitepaper
 
The Economic Value of Data: A New Revenue Stream for Global Custodians
The Economic Value of Data: A New Revenue Stream for Global CustodiansThe Economic Value of Data: A New Revenue Stream for Global Custodians
The Economic Value of Data: A New Revenue Stream for Global Custodians
 
Building an Intelligent Supply Chain Frankfurt Supply Chain Interests Group 2002
Building an Intelligent Supply Chain Frankfurt Supply Chain Interests Group 2002Building an Intelligent Supply Chain Frankfurt Supply Chain Interests Group 2002
Building an Intelligent Supply Chain Frankfurt Supply Chain Interests Group 2002
 
The Data Effect: Canadian Big Data & Analytics Update - Dr. Alison Brooks Dir...
The Data Effect: Canadian Big Data & Analytics Update - Dr. Alison Brooks Dir...The Data Effect: Canadian Big Data & Analytics Update - Dr. Alison Brooks Dir...
The Data Effect: Canadian Big Data & Analytics Update - Dr. Alison Brooks Dir...
 

Viewers also liked

Analytics Trends 2016: The next evolution
Analytics Trends 2016: The next evolutionAnalytics Trends 2016: The next evolution
Analytics Trends 2016: The next evolutionDeloitte United States
 
BioStorage Technologies Case Study: How to build an informatics platform usin...
BioStorage Technologies Case Study: How to build an informatics platform usin...BioStorage Technologies Case Study: How to build an informatics platform usin...
BioStorage Technologies Case Study: How to build an informatics platform usin...Denodo
 
Hadoop and Data Virtualization - A Case Study by VHA
Hadoop and Data Virtualization - A Case Study by VHAHadoop and Data Virtualization - A Case Study by VHA
Hadoop and Data Virtualization - A Case Study by VHADenodo
 
Data Virtualization Modernizes Biobanking
Data Virtualization Modernizes BiobankingData Virtualization Modernizes Biobanking
Data Virtualization Modernizes BiobankingDenodo
 
AppSphere 15 - Achieving Enterprise Agility, Superior Scalability and Deploym...
AppSphere 15 - Achieving Enterprise Agility, Superior Scalability and Deploym...AppSphere 15 - Achieving Enterprise Agility, Superior Scalability and Deploym...
AppSphere 15 - Achieving Enterprise Agility, Superior Scalability and Deploym...AppDynamics
 
Data Services Marketplace
Data Services MarketplaceData Services Marketplace
Data Services MarketplaceDenodo
 
CFO Challenges and Opportunities
CFO Challenges and OpportunitiesCFO Challenges and Opportunities
CFO Challenges and OpportunitiesKannan Rajarathnam
 
Long tail big data
Long tail big dataLong tail big data
Long tail big dataChuck Tryon
 
Big Data Fabric: A Recipe for Big Data Initiatives
Big Data Fabric: A Recipe for Big Data InitiativesBig Data Fabric: A Recipe for Big Data Initiatives
Big Data Fabric: A Recipe for Big Data InitiativesDenodo
 
The 3-Speed Chief Data Officer
The 3-Speed Chief Data OfficerThe 3-Speed Chief Data Officer
The 3-Speed Chief Data OfficerDenodo
 
Cloud application architecture with sql azure and windows azure
Cloud application architecture with sql azure and windows azureCloud application architecture with sql azure and windows azure
Cloud application architecture with sql azure and windows azureEduardo Castro
 

Viewers also liked (11)

Analytics Trends 2016: The next evolution
Analytics Trends 2016: The next evolutionAnalytics Trends 2016: The next evolution
Analytics Trends 2016: The next evolution
 
BioStorage Technologies Case Study: How to build an informatics platform usin...
BioStorage Technologies Case Study: How to build an informatics platform usin...BioStorage Technologies Case Study: How to build an informatics platform usin...
BioStorage Technologies Case Study: How to build an informatics platform usin...
 
Hadoop and Data Virtualization - A Case Study by VHA
Hadoop and Data Virtualization - A Case Study by VHAHadoop and Data Virtualization - A Case Study by VHA
Hadoop and Data Virtualization - A Case Study by VHA
 
Data Virtualization Modernizes Biobanking
Data Virtualization Modernizes BiobankingData Virtualization Modernizes Biobanking
Data Virtualization Modernizes Biobanking
 
AppSphere 15 - Achieving Enterprise Agility, Superior Scalability and Deploym...
AppSphere 15 - Achieving Enterprise Agility, Superior Scalability and Deploym...AppSphere 15 - Achieving Enterprise Agility, Superior Scalability and Deploym...
AppSphere 15 - Achieving Enterprise Agility, Superior Scalability and Deploym...
 
Data Services Marketplace
Data Services MarketplaceData Services Marketplace
Data Services Marketplace
 
CFO Challenges and Opportunities
CFO Challenges and OpportunitiesCFO Challenges and Opportunities
CFO Challenges and Opportunities
 
Long tail big data
Long tail big dataLong tail big data
Long tail big data
 
Big Data Fabric: A Recipe for Big Data Initiatives
Big Data Fabric: A Recipe for Big Data InitiativesBig Data Fabric: A Recipe for Big Data Initiatives
Big Data Fabric: A Recipe for Big Data Initiatives
 
The 3-Speed Chief Data Officer
The 3-Speed Chief Data OfficerThe 3-Speed Chief Data Officer
The 3-Speed Chief Data Officer
 
Cloud application architecture with sql azure and windows azure
Cloud application architecture with sql azure and windows azureCloud application architecture with sql azure and windows azure
Cloud application architecture with sql azure and windows azure
 

Similar to Data-Driven is Passé: Transform Into An Insights-Driven Enterprise

Forrester’s View on Accelerating Analytics and Insights with Data Prep
Forrester’s View on Accelerating Analytics and Insights with Data PrepForrester’s View on Accelerating Analytics and Insights with Data Prep
Forrester’s View on Accelerating Analytics and Insights with Data PrepDatawatchCorporation
 
Bardess Moderated - Analytics and Business Intelligence - Society of Informat...
Bardess Moderated - Analytics and Business Intelligence - Society of Informat...Bardess Moderated - Analytics and Business Intelligence - Society of Informat...
Bardess Moderated - Analytics and Business Intelligence - Society of Informat...bardessweb
 
Inventory and Discovery: How to Take Charge of “What’s Out There”
Inventory and Discovery: How to Take Charge of “What’s Out There” Inventory and Discovery: How to Take Charge of “What’s Out There”
Inventory and Discovery: How to Take Charge of “What’s Out There” Enterprise Management Associates
 
The Value of Pervasive Analytics
The Value of Pervasive AnalyticsThe Value of Pervasive Analytics
The Value of Pervasive AnalyticsCloudera, Inc.
 
Are you getting the most out of your data?
Are you getting the most out of your data?Are you getting the most out of your data?
Are you getting the most out of your data?SAS Canada
 
Gaining Insight through Predictive Analytics
Gaining Insight through Predictive AnalyticsGaining Insight through Predictive Analytics
Gaining Insight through Predictive AnalyticsScottMadden, Inc.
 
Eliminate Workload Automation Guess Work with Machine Learning
 Eliminate Workload Automation Guess Work with Machine Learning Eliminate Workload Automation Guess Work with Machine Learning
Eliminate Workload Automation Guess Work with Machine LearningEnterprise Management Associates
 
Tdwi march 2015 presentation
Tdwi march 2015 presentationTdwi march 2015 presentation
Tdwi march 2015 presentationAlison Macfie
 
Connecting Data and Experience: How Decision Management Works
Connecting Data and Experience: How Decision Management WorksConnecting Data and Experience: How Decision Management Works
Connecting Data and Experience: How Decision Management WorksInside Analysis
 
Data Strategy - Enabling the Data-Guided Enterprise
Data Strategy - Enabling the Data-Guided EnterpriseData Strategy - Enabling the Data-Guided Enterprise
Data Strategy - Enabling the Data-Guided EnterpriseThoughtworks
 
Enabling a Culture of Self-Service Analytics
Enabling a Culture of Self-Service AnalyticsEnabling a Culture of Self-Service Analytics
Enabling a Culture of Self-Service AnalyticsPrecisely
 
Streaming analytics webinar | 9.13.16 | Guest: Mike Gualtieri from Forrester
Streaming analytics webinar | 9.13.16 | Guest: Mike Gualtieri from ForresterStreaming analytics webinar | 9.13.16 | Guest: Mike Gualtieri from Forrester
Streaming analytics webinar | 9.13.16 | Guest: Mike Gualtieri from ForresterCubic Corporation
 
Forrester whitepaper
Forrester whitepaperForrester whitepaper
Forrester whitepaperAlok Kumar
 
Why Everything You Know About bigdata Is A Lie
Why Everything You Know About bigdata Is A LieWhy Everything You Know About bigdata Is A Lie
Why Everything You Know About bigdata Is A LieSunil Ranka
 
Rethink and Realign for Digital Transformation Success
Rethink and Realign for Digital Transformation SuccessRethink and Realign for Digital Transformation Success
Rethink and Realign for Digital Transformation SuccessPerficient, Inc.
 
5 Reasons Enterprise Adoption of Spark is Unstoppable by Mike Gualtieri
 5 Reasons Enterprise Adoption of Spark is Unstoppable by Mike Gualtieri 5 Reasons Enterprise Adoption of Spark is Unstoppable by Mike Gualtieri
5 Reasons Enterprise Adoption of Spark is Unstoppable by Mike GualtieriSpark Summit
 

Similar to Data-Driven is Passé: Transform Into An Insights-Driven Enterprise (20)

Forrester’s View on Accelerating Analytics and Insights with Data Prep
Forrester’s View on Accelerating Analytics and Insights with Data PrepForrester’s View on Accelerating Analytics and Insights with Data Prep
Forrester’s View on Accelerating Analytics and Insights with Data Prep
 
From 'I think' to 'I know'
From 'I think' to 'I know'From 'I think' to 'I know'
From 'I think' to 'I know'
 
06 summary
06 summary06 summary
06 summary
 
Bardess Moderated - Analytics and Business Intelligence - Society of Informat...
Bardess Moderated - Analytics and Business Intelligence - Society of Informat...Bardess Moderated - Analytics and Business Intelligence - Society of Informat...
Bardess Moderated - Analytics and Business Intelligence - Society of Informat...
 
Inventory and Discovery: How to Take Charge of “What’s Out There”
Inventory and Discovery: How to Take Charge of “What’s Out There” Inventory and Discovery: How to Take Charge of “What’s Out There”
Inventory and Discovery: How to Take Charge of “What’s Out There”
 
The Value of Pervasive Analytics
The Value of Pervasive AnalyticsThe Value of Pervasive Analytics
The Value of Pervasive Analytics
 
Are you getting the most out of your data?
Are you getting the most out of your data?Are you getting the most out of your data?
Are you getting the most out of your data?
 
Gaining Insight through Predictive Analytics
Gaining Insight through Predictive AnalyticsGaining Insight through Predictive Analytics
Gaining Insight through Predictive Analytics
 
Eliminate Workload Automation Guess Work with Machine Learning
 Eliminate Workload Automation Guess Work with Machine Learning Eliminate Workload Automation Guess Work with Machine Learning
Eliminate Workload Automation Guess Work with Machine Learning
 
Tdwi march 2015 presentation
Tdwi march 2015 presentationTdwi march 2015 presentation
Tdwi march 2015 presentation
 
Connecting Data and Experience: How Decision Management Works
Connecting Data and Experience: How Decision Management WorksConnecting Data and Experience: How Decision Management Works
Connecting Data and Experience: How Decision Management Works
 
Data Strategy - Enabling the Data-Guided Enterprise
Data Strategy - Enabling the Data-Guided EnterpriseData Strategy - Enabling the Data-Guided Enterprise
Data Strategy - Enabling the Data-Guided Enterprise
 
Business Intelligence Services | BI Tools
Business Intelligence Services | BI ToolsBusiness Intelligence Services | BI Tools
Business Intelligence Services | BI Tools
 
Enabling a Culture of Self-Service Analytics
Enabling a Culture of Self-Service AnalyticsEnabling a Culture of Self-Service Analytics
Enabling a Culture of Self-Service Analytics
 
Streaming analytics webinar | 9.13.16 | Guest: Mike Gualtieri from Forrester
Streaming analytics webinar | 9.13.16 | Guest: Mike Gualtieri from ForresterStreaming analytics webinar | 9.13.16 | Guest: Mike Gualtieri from Forrester
Streaming analytics webinar | 9.13.16 | Guest: Mike Gualtieri from Forrester
 
Forrester whitepaper
Forrester whitepaperForrester whitepaper
Forrester whitepaper
 
Why Everything You Know About bigdata Is A Lie
Why Everything You Know About bigdata Is A LieWhy Everything You Know About bigdata Is A Lie
Why Everything You Know About bigdata Is A Lie
 
01 big dataoverview
01 big dataoverview01 big dataoverview
01 big dataoverview
 
Rethink and Realign for Digital Transformation Success
Rethink and Realign for Digital Transformation SuccessRethink and Realign for Digital Transformation Success
Rethink and Realign for Digital Transformation Success
 
5 Reasons Enterprise Adoption of Spark is Unstoppable by Mike Gualtieri
 5 Reasons Enterprise Adoption of Spark is Unstoppable by Mike Gualtieri 5 Reasons Enterprise Adoption of Spark is Unstoppable by Mike Gualtieri
5 Reasons Enterprise Adoption of Spark is Unstoppable by Mike Gualtieri
 

More from Denodo

Enterprise Monitoring and Auditing in Denodo
Enterprise Monitoring and Auditing in DenodoEnterprise Monitoring and Auditing in Denodo
Enterprise Monitoring and Auditing in DenodoDenodo
 
Lunch and Learn ANZ: Mastering Cloud Data Cost Control: A FinOps Approach
Lunch and Learn ANZ: Mastering Cloud Data Cost Control: A FinOps ApproachLunch and Learn ANZ: Mastering Cloud Data Cost Control: A FinOps Approach
Lunch and Learn ANZ: Mastering Cloud Data Cost Control: A FinOps ApproachDenodo
 
Achieving Self-Service Analytics with a Governed Data Services Layer
Achieving Self-Service Analytics with a Governed Data Services LayerAchieving Self-Service Analytics with a Governed Data Services Layer
Achieving Self-Service Analytics with a Governed Data Services LayerDenodo
 
What you need to know about Generative AI and Data Management?
What you need to know about Generative AI and Data Management?What you need to know about Generative AI and Data Management?
What you need to know about Generative AI and Data Management?Denodo
 
Mastering Data Compliance in a Dynamic Business Landscape
Mastering Data Compliance in a Dynamic Business LandscapeMastering Data Compliance in a Dynamic Business Landscape
Mastering Data Compliance in a Dynamic Business LandscapeDenodo
 
Denodo Partner Connect: Business Value Demo with Denodo Demo Lite
Denodo Partner Connect: Business Value Demo with Denodo Demo LiteDenodo Partner Connect: Business Value Demo with Denodo Demo Lite
Denodo Partner Connect: Business Value Demo with Denodo Demo LiteDenodo
 
Expert Panel: Overcoming Challenges with Distributed Data to Maximize Busines...
Expert Panel: Overcoming Challenges with Distributed Data to Maximize Busines...Expert Panel: Overcoming Challenges with Distributed Data to Maximize Busines...
Expert Panel: Overcoming Challenges with Distributed Data to Maximize Busines...Denodo
 
Drive Data Privacy Regulatory Compliance
Drive Data Privacy Regulatory ComplianceDrive Data Privacy Regulatory Compliance
Drive Data Privacy Regulatory ComplianceDenodo
 
Знакомство с виртуализацией данных для профессионалов в области данных
Знакомство с виртуализацией данных для профессионалов в области данныхЗнакомство с виртуализацией данных для профессионалов в области данных
Знакомство с виртуализацией данных для профессионалов в области данныхDenodo
 
Data Democratization: A Secret Sauce to Say Goodbye to Data Fragmentation
Data Democratization: A Secret Sauce to Say Goodbye to Data FragmentationData Democratization: A Secret Sauce to Say Goodbye to Data Fragmentation
Data Democratization: A Secret Sauce to Say Goodbye to Data FragmentationDenodo
 
Denodo Partner Connect - Technical Webinar - Ask Me Anything
Denodo Partner Connect - Technical Webinar - Ask Me AnythingDenodo Partner Connect - Technical Webinar - Ask Me Anything
Denodo Partner Connect - Technical Webinar - Ask Me AnythingDenodo
 
Lunch and Learn ANZ: Key Takeaways for 2023!
Lunch and Learn ANZ: Key Takeaways for 2023!Lunch and Learn ANZ: Key Takeaways for 2023!
Lunch and Learn ANZ: Key Takeaways for 2023!Denodo
 
It’s a Wrap! 2023 – A Groundbreaking Year for AI and The Way Forward
It’s a Wrap! 2023 – A Groundbreaking Year for AI and The Way ForwardIt’s a Wrap! 2023 – A Groundbreaking Year for AI and The Way Forward
It’s a Wrap! 2023 – A Groundbreaking Year for AI and The Way ForwardDenodo
 
Quels sont les facteurs-clés de succès pour appliquer au mieux le RGPD à votr...
Quels sont les facteurs-clés de succès pour appliquer au mieux le RGPD à votr...Quels sont les facteurs-clés de succès pour appliquer au mieux le RGPD à votr...
Quels sont les facteurs-clés de succès pour appliquer au mieux le RGPD à votr...Denodo
 
Lunch and Learn ANZ: Achieving Self-Service Analytics with a Governed Data Se...
Lunch and Learn ANZ: Achieving Self-Service Analytics with a Governed Data Se...Lunch and Learn ANZ: Achieving Self-Service Analytics with a Governed Data Se...
Lunch and Learn ANZ: Achieving Self-Service Analytics with a Governed Data Se...Denodo
 
How to Build Your Data Marketplace with Data Virtualization?
How to Build Your Data Marketplace with Data Virtualization?How to Build Your Data Marketplace with Data Virtualization?
How to Build Your Data Marketplace with Data Virtualization?Denodo
 
Webinar #2 - Transforming Challenges into Opportunities for Credit Unions
Webinar #2 - Transforming Challenges into Opportunities for Credit UnionsWebinar #2 - Transforming Challenges into Opportunities for Credit Unions
Webinar #2 - Transforming Challenges into Opportunities for Credit UnionsDenodo
 
Enabling Data Catalog users with advanced usability
Enabling Data Catalog users with advanced usabilityEnabling Data Catalog users with advanced usability
Enabling Data Catalog users with advanced usabilityDenodo
 
Denodo Partner Connect: Technical Webinar - Architect Associate Certification...
Denodo Partner Connect: Technical Webinar - Architect Associate Certification...Denodo Partner Connect: Technical Webinar - Architect Associate Certification...
Denodo Partner Connect: Technical Webinar - Architect Associate Certification...Denodo
 
GenAI y el futuro de la gestión de datos: mitos y realidades
GenAI y el futuro de la gestión de datos: mitos y realidadesGenAI y el futuro de la gestión de datos: mitos y realidades
GenAI y el futuro de la gestión de datos: mitos y realidadesDenodo
 

More from Denodo (20)

Enterprise Monitoring and Auditing in Denodo
Enterprise Monitoring and Auditing in DenodoEnterprise Monitoring and Auditing in Denodo
Enterprise Monitoring and Auditing in Denodo
 
Lunch and Learn ANZ: Mastering Cloud Data Cost Control: A FinOps Approach
Lunch and Learn ANZ: Mastering Cloud Data Cost Control: A FinOps ApproachLunch and Learn ANZ: Mastering Cloud Data Cost Control: A FinOps Approach
Lunch and Learn ANZ: Mastering Cloud Data Cost Control: A FinOps Approach
 
Achieving Self-Service Analytics with a Governed Data Services Layer
Achieving Self-Service Analytics with a Governed Data Services LayerAchieving Self-Service Analytics with a Governed Data Services Layer
Achieving Self-Service Analytics with a Governed Data Services Layer
 
What you need to know about Generative AI and Data Management?
What you need to know about Generative AI and Data Management?What you need to know about Generative AI and Data Management?
What you need to know about Generative AI and Data Management?
 
Mastering Data Compliance in a Dynamic Business Landscape
Mastering Data Compliance in a Dynamic Business LandscapeMastering Data Compliance in a Dynamic Business Landscape
Mastering Data Compliance in a Dynamic Business Landscape
 
Denodo Partner Connect: Business Value Demo with Denodo Demo Lite
Denodo Partner Connect: Business Value Demo with Denodo Demo LiteDenodo Partner Connect: Business Value Demo with Denodo Demo Lite
Denodo Partner Connect: Business Value Demo with Denodo Demo Lite
 
Expert Panel: Overcoming Challenges with Distributed Data to Maximize Busines...
Expert Panel: Overcoming Challenges with Distributed Data to Maximize Busines...Expert Panel: Overcoming Challenges with Distributed Data to Maximize Busines...
Expert Panel: Overcoming Challenges with Distributed Data to Maximize Busines...
 
Drive Data Privacy Regulatory Compliance
Drive Data Privacy Regulatory ComplianceDrive Data Privacy Regulatory Compliance
Drive Data Privacy Regulatory Compliance
 
Знакомство с виртуализацией данных для профессионалов в области данных
Знакомство с виртуализацией данных для профессионалов в области данныхЗнакомство с виртуализацией данных для профессионалов в области данных
Знакомство с виртуализацией данных для профессионалов в области данных
 
Data Democratization: A Secret Sauce to Say Goodbye to Data Fragmentation
Data Democratization: A Secret Sauce to Say Goodbye to Data FragmentationData Democratization: A Secret Sauce to Say Goodbye to Data Fragmentation
Data Democratization: A Secret Sauce to Say Goodbye to Data Fragmentation
 
Denodo Partner Connect - Technical Webinar - Ask Me Anything
Denodo Partner Connect - Technical Webinar - Ask Me AnythingDenodo Partner Connect - Technical Webinar - Ask Me Anything
Denodo Partner Connect - Technical Webinar - Ask Me Anything
 
Lunch and Learn ANZ: Key Takeaways for 2023!
Lunch and Learn ANZ: Key Takeaways for 2023!Lunch and Learn ANZ: Key Takeaways for 2023!
Lunch and Learn ANZ: Key Takeaways for 2023!
 
It’s a Wrap! 2023 – A Groundbreaking Year for AI and The Way Forward
It’s a Wrap! 2023 – A Groundbreaking Year for AI and The Way ForwardIt’s a Wrap! 2023 – A Groundbreaking Year for AI and The Way Forward
It’s a Wrap! 2023 – A Groundbreaking Year for AI and The Way Forward
 
Quels sont les facteurs-clés de succès pour appliquer au mieux le RGPD à votr...
Quels sont les facteurs-clés de succès pour appliquer au mieux le RGPD à votr...Quels sont les facteurs-clés de succès pour appliquer au mieux le RGPD à votr...
Quels sont les facteurs-clés de succès pour appliquer au mieux le RGPD à votr...
 
Lunch and Learn ANZ: Achieving Self-Service Analytics with a Governed Data Se...
Lunch and Learn ANZ: Achieving Self-Service Analytics with a Governed Data Se...Lunch and Learn ANZ: Achieving Self-Service Analytics with a Governed Data Se...
Lunch and Learn ANZ: Achieving Self-Service Analytics with a Governed Data Se...
 
How to Build Your Data Marketplace with Data Virtualization?
How to Build Your Data Marketplace with Data Virtualization?How to Build Your Data Marketplace with Data Virtualization?
How to Build Your Data Marketplace with Data Virtualization?
 
Webinar #2 - Transforming Challenges into Opportunities for Credit Unions
Webinar #2 - Transforming Challenges into Opportunities for Credit UnionsWebinar #2 - Transforming Challenges into Opportunities for Credit Unions
Webinar #2 - Transforming Challenges into Opportunities for Credit Unions
 
Enabling Data Catalog users with advanced usability
Enabling Data Catalog users with advanced usabilityEnabling Data Catalog users with advanced usability
Enabling Data Catalog users with advanced usability
 
Denodo Partner Connect: Technical Webinar - Architect Associate Certification...
Denodo Partner Connect: Technical Webinar - Architect Associate Certification...Denodo Partner Connect: Technical Webinar - Architect Associate Certification...
Denodo Partner Connect: Technical Webinar - Architect Associate Certification...
 
GenAI y el futuro de la gestión de datos: mitos y realidades
GenAI y el futuro de la gestión de datos: mitos y realidadesGenAI y el futuro de la gestión de datos: mitos y realidades
GenAI y el futuro de la gestión de datos: mitos y realidades
 

Recently uploaded

NO1 Certified Black Magic Specialist Expert Amil baba in Lahore Islamabad Raw...
NO1 Certified Black Magic Specialist Expert Amil baba in Lahore Islamabad Raw...NO1 Certified Black Magic Specialist Expert Amil baba in Lahore Islamabad Raw...
NO1 Certified Black Magic Specialist Expert Amil baba in Lahore Islamabad Raw...Amil Baba Dawood bangali
 
convolutional neural network and its applications.pdf
convolutional neural network and its applications.pdfconvolutional neural network and its applications.pdf
convolutional neural network and its applications.pdfSubhamKumar3239
 
Data Analysis Project Presentation: Unveiling Your Ideal Customer, Bank Custo...
Data Analysis Project Presentation: Unveiling Your Ideal Customer, Bank Custo...Data Analysis Project Presentation: Unveiling Your Ideal Customer, Bank Custo...
Data Analysis Project Presentation: Unveiling Your Ideal Customer, Bank Custo...Boston Institute of Analytics
 
Data Factory in Microsoft Fabric (MsBIP #82)
Data Factory in Microsoft Fabric (MsBIP #82)Data Factory in Microsoft Fabric (MsBIP #82)
Data Factory in Microsoft Fabric (MsBIP #82)Cathrine Wilhelmsen
 
Student profile product demonstration on grades, ability, well-being and mind...
Student profile product demonstration on grades, ability, well-being and mind...Student profile product demonstration on grades, ability, well-being and mind...
Student profile product demonstration on grades, ability, well-being and mind...Seán Kennedy
 
Networking Case Study prepared by teacher.pptx
Networking Case Study prepared by teacher.pptxNetworking Case Study prepared by teacher.pptx
Networking Case Study prepared by teacher.pptxHimangsuNath
 
Real-Time AI Streaming - AI Max Princeton
Real-Time AI  Streaming - AI Max PrincetonReal-Time AI  Streaming - AI Max Princeton
Real-Time AI Streaming - AI Max PrincetonTimothy Spann
 
modul pembelajaran robotic Workshop _ by Slidesgo.pptx
modul pembelajaran robotic Workshop _ by Slidesgo.pptxmodul pembelajaran robotic Workshop _ by Slidesgo.pptx
modul pembelajaran robotic Workshop _ by Slidesgo.pptxaleedritatuxx
 
wepik-insightful-infographics-a-data-visualization-overview-20240401133220kwr...
wepik-insightful-infographics-a-data-visualization-overview-20240401133220kwr...wepik-insightful-infographics-a-data-visualization-overview-20240401133220kwr...
wepik-insightful-infographics-a-data-visualization-overview-20240401133220kwr...KarteekMane1
 
Cyber awareness ppt on the recorded data
Cyber awareness ppt on the recorded dataCyber awareness ppt on the recorded data
Cyber awareness ppt on the recorded dataTecnoIncentive
 
Principles and Practices of Data Visualization
Principles and Practices of Data VisualizationPrinciples and Practices of Data Visualization
Principles and Practices of Data VisualizationKianJazayeri1
 
Conf42-LLM_Adding Generative AI to Real-Time Streaming Pipelines
Conf42-LLM_Adding Generative AI to Real-Time Streaming PipelinesConf42-LLM_Adding Generative AI to Real-Time Streaming Pipelines
Conf42-LLM_Adding Generative AI to Real-Time Streaming PipelinesTimothy Spann
 
6 Tips for Interpretable Topic Models _ by Nicha Ruchirawat _ Towards Data Sc...
6 Tips for Interpretable Topic Models _ by Nicha Ruchirawat _ Towards Data Sc...6 Tips for Interpretable Topic Models _ by Nicha Ruchirawat _ Towards Data Sc...
6 Tips for Interpretable Topic Models _ by Nicha Ruchirawat _ Towards Data Sc...Dr Arash Najmaei ( Phd., MBA, BSc)
 
FAIR, FAIRsharing, FAIR Cookbook and ELIXIR - Sansone SA - Boston 2024
FAIR, FAIRsharing, FAIR Cookbook and ELIXIR - Sansone SA - Boston 2024FAIR, FAIRsharing, FAIR Cookbook and ELIXIR - Sansone SA - Boston 2024
FAIR, FAIRsharing, FAIR Cookbook and ELIXIR - Sansone SA - Boston 2024Susanna-Assunta Sansone
 
Advanced Machine Learning for Business Professionals
Advanced Machine Learning for Business ProfessionalsAdvanced Machine Learning for Business Professionals
Advanced Machine Learning for Business ProfessionalsVICTOR MAESTRE RAMIREZ
 
Minimizing AI Hallucinations/Confabulations and the Path towards AGI with Exa...
Minimizing AI Hallucinations/Confabulations and the Path towards AGI with Exa...Minimizing AI Hallucinations/Confabulations and the Path towards AGI with Exa...
Minimizing AI Hallucinations/Confabulations and the Path towards AGI with Exa...Thomas Poetter
 
INTRODUCTION TO Natural language processing
INTRODUCTION TO Natural language processingINTRODUCTION TO Natural language processing
INTRODUCTION TO Natural language processingsocarem879
 
What To Do For World Nature Conservation Day by Slidesgo.pptx
What To Do For World Nature Conservation Day by Slidesgo.pptxWhat To Do For World Nature Conservation Day by Slidesgo.pptx
What To Do For World Nature Conservation Day by Slidesgo.pptxSimranPal17
 
Unveiling the Role of Social Media Suspect Investigators in Preventing Online...
Unveiling the Role of Social Media Suspect Investigators in Preventing Online...Unveiling the Role of Social Media Suspect Investigators in Preventing Online...
Unveiling the Role of Social Media Suspect Investigators in Preventing Online...Milind Agarwal
 

Recently uploaded (20)

NO1 Certified Black Magic Specialist Expert Amil baba in Lahore Islamabad Raw...
NO1 Certified Black Magic Specialist Expert Amil baba in Lahore Islamabad Raw...NO1 Certified Black Magic Specialist Expert Amil baba in Lahore Islamabad Raw...
NO1 Certified Black Magic Specialist Expert Amil baba in Lahore Islamabad Raw...
 
convolutional neural network and its applications.pdf
convolutional neural network and its applications.pdfconvolutional neural network and its applications.pdf
convolutional neural network and its applications.pdf
 
Data Analysis Project Presentation: Unveiling Your Ideal Customer, Bank Custo...
Data Analysis Project Presentation: Unveiling Your Ideal Customer, Bank Custo...Data Analysis Project Presentation: Unveiling Your Ideal Customer, Bank Custo...
Data Analysis Project Presentation: Unveiling Your Ideal Customer, Bank Custo...
 
Data Factory in Microsoft Fabric (MsBIP #82)
Data Factory in Microsoft Fabric (MsBIP #82)Data Factory in Microsoft Fabric (MsBIP #82)
Data Factory in Microsoft Fabric (MsBIP #82)
 
Student profile product demonstration on grades, ability, well-being and mind...
Student profile product demonstration on grades, ability, well-being and mind...Student profile product demonstration on grades, ability, well-being and mind...
Student profile product demonstration on grades, ability, well-being and mind...
 
Networking Case Study prepared by teacher.pptx
Networking Case Study prepared by teacher.pptxNetworking Case Study prepared by teacher.pptx
Networking Case Study prepared by teacher.pptx
 
Real-Time AI Streaming - AI Max Princeton
Real-Time AI  Streaming - AI Max PrincetonReal-Time AI  Streaming - AI Max Princeton
Real-Time AI Streaming - AI Max Princeton
 
modul pembelajaran robotic Workshop _ by Slidesgo.pptx
modul pembelajaran robotic Workshop _ by Slidesgo.pptxmodul pembelajaran robotic Workshop _ by Slidesgo.pptx
modul pembelajaran robotic Workshop _ by Slidesgo.pptx
 
wepik-insightful-infographics-a-data-visualization-overview-20240401133220kwr...
wepik-insightful-infographics-a-data-visualization-overview-20240401133220kwr...wepik-insightful-infographics-a-data-visualization-overview-20240401133220kwr...
wepik-insightful-infographics-a-data-visualization-overview-20240401133220kwr...
 
Cyber awareness ppt on the recorded data
Cyber awareness ppt on the recorded dataCyber awareness ppt on the recorded data
Cyber awareness ppt on the recorded data
 
Principles and Practices of Data Visualization
Principles and Practices of Data VisualizationPrinciples and Practices of Data Visualization
Principles and Practices of Data Visualization
 
Conf42-LLM_Adding Generative AI to Real-Time Streaming Pipelines
Conf42-LLM_Adding Generative AI to Real-Time Streaming PipelinesConf42-LLM_Adding Generative AI to Real-Time Streaming Pipelines
Conf42-LLM_Adding Generative AI to Real-Time Streaming Pipelines
 
6 Tips for Interpretable Topic Models _ by Nicha Ruchirawat _ Towards Data Sc...
6 Tips for Interpretable Topic Models _ by Nicha Ruchirawat _ Towards Data Sc...6 Tips for Interpretable Topic Models _ by Nicha Ruchirawat _ Towards Data Sc...
6 Tips for Interpretable Topic Models _ by Nicha Ruchirawat _ Towards Data Sc...
 
FAIR, FAIRsharing, FAIR Cookbook and ELIXIR - Sansone SA - Boston 2024
FAIR, FAIRsharing, FAIR Cookbook and ELIXIR - Sansone SA - Boston 2024FAIR, FAIRsharing, FAIR Cookbook and ELIXIR - Sansone SA - Boston 2024
FAIR, FAIRsharing, FAIR Cookbook and ELIXIR - Sansone SA - Boston 2024
 
Advanced Machine Learning for Business Professionals
Advanced Machine Learning for Business ProfessionalsAdvanced Machine Learning for Business Professionals
Advanced Machine Learning for Business Professionals
 
Minimizing AI Hallucinations/Confabulations and the Path towards AGI with Exa...
Minimizing AI Hallucinations/Confabulations and the Path towards AGI with Exa...Minimizing AI Hallucinations/Confabulations and the Path towards AGI with Exa...
Minimizing AI Hallucinations/Confabulations and the Path towards AGI with Exa...
 
Insurance Churn Prediction Data Analysis Project
Insurance Churn Prediction Data Analysis ProjectInsurance Churn Prediction Data Analysis Project
Insurance Churn Prediction Data Analysis Project
 
INTRODUCTION TO Natural language processing
INTRODUCTION TO Natural language processingINTRODUCTION TO Natural language processing
INTRODUCTION TO Natural language processing
 
What To Do For World Nature Conservation Day by Slidesgo.pptx
What To Do For World Nature Conservation Day by Slidesgo.pptxWhat To Do For World Nature Conservation Day by Slidesgo.pptx
What To Do For World Nature Conservation Day by Slidesgo.pptx
 
Unveiling the Role of Social Media Suspect Investigators in Preventing Online...
Unveiling the Role of Social Media Suspect Investigators in Preventing Online...Unveiling the Role of Social Media Suspect Investigators in Preventing Online...
Unveiling the Role of Social Media Suspect Investigators in Preventing Online...
 

Data-Driven is Passé: Transform Into An Insights-Driven Enterprise

  • 1. Dr. Holger Kisker VP & Research Director, Forrester Research Data-Driven is Passé: Transform Into An Insights-Driven Enterprise Dr. Anastasio Molano Senior VP, Strategic Technical Office, Denodo Nov 19, 2015
  • 2. Agenda 01. Transforming insights-to-action with “systems of insight” 02. Data virtualization as a key enabler for “systems of insight”
  • 3. Dr. Holger Kisker VP & Research Director, Forrester Research Transforming Insights-to-Action with “Systems of Insight”
  • 4. © 2015 Forrester Research, Inc. Reproduction Prohibited 4 Empowered customers create urgency Age of manufacturing Age of distribution Age of information Age of the customer Empowered buyers demand a new level of customer obsession
  • 5. © 2015 Forrester Research, Inc. Reproduction Prohibited 5 This is the world we live in …
  • 6. © 2015 Forrester Research, Inc. Reproduction Prohibited 6 and everything’s increasingly connected
  • 7. 7© 2015 Forrester Research, Inc. Reproduction Prohibited Key trend: selling an outcome Used to sell: › Electricity › Aero engines › Air conditioning units › Lifts/Elevators › Cars › Agricultural machinery › Medical testing devices › Health insurance › Toothbrush › Your traditional business Now sell, or may in future: › Energy Services › Units of propulsion › The right temperature › Moving people/goods up/down › Ability to get from A to B › Optimum yields › Number of tests › Wellness program › Healthy mouth and teeth › New outcome based business
  • 8. 8© 2015 Forrester Research, Inc. Reproduction Prohibited Data and analytics are all the rage Base: 3,005 business and technology decision-makers Source: Forrester’s Global Business Technographics® Data And Analytics Survey, 2015 65% of firms will be using big data analytics to optimize digital experiences. 49% of firms view improving the use of data and analytics as a business priority. 45% of firms have appointed a chief data officer.
  • 9. 9© 2015 Forrester Research, Inc. Reproduction Prohibited But most firms don’t consistently turn data into action Source: Forrester Business Technographics®, Data & Analytics Survey, 2015 All possible data All possible actions 73% 29% of firms aspire to be data-driven of firms are good at turning data into action
  • 10. © 2015 Forrester Research, Inc. Reproduction Prohibited 10 There’s a better way to do it.
  • 11. Stitch Fix embeds insights into everything Stitch Fix has embedded insights-to- execution in their operating model A Chief Algorithmics Officer drives the insights process and strategy Stitch Fix is in a constant state of controlled experimentation. The result: better customer experiences . . . . . . And half the inventory carrying costs of other online fashion retailers
  • 12. © 2015 Forrester Research, Inc. Reproduction Prohibited 12 An insights-driven business harnesses insights to consistently turn data into effective action.
  • 13. © 2015 Forrester Research, Inc. Reproduction Prohibited 13 Insights-driven businesses systematically turn data into action Applications DecisionsProcesses
  • 14. © 2015 Forrester Research, Inc. Reproduction Prohibited 14 Insights fuel your entire business Digital customer experiences Digital operational excellence
  • 15. Consider how Tesla’s creates an insight drive experience • Improve CX by fixing problems before they happen. • Team works together to turn data into action. • Insights services let engineers find and test insights. • Developers implement insights firmware (create action). Pipeline Insights services Engineers Firmware developers Data scientists Data engineers
  • 16. © 2015 Forrester Research, Inc. Reproduction Prohibited 16 What are Stitch Fix and Tesla doing that’s so unique?
  • 17. © 2015 Forrester Research, Inc. Reproduction Prohibited 17 A System Of Insight - The business discipline and technology to harness insights and consistently turn data into action.
  • 18. A system of insight is an operating model: people, process, & technology working together All Data Possible Actions Insights-to-execution process Insights team Digital insights architecture Right data Effective actions Source: April 27, 2015, “Digital Insight Is The New Currency Of Business” Forrester report
  • 19. © 2015 Forrester Research, Inc. Reproduction Prohibited 19 Best Practice #1 › Key success factor - can you answer the following: What’s the real question? Which objective are we aiming to meet? What problem are we trying to solve? How does an individual initiative fit into the overall business strategy? Build Multidisciplinary Insights Teams
  • 20. © 2015 Forrester Research, Inc. Reproduction Prohibited 20 Business leader Manages the team to optimize a specific business outcome Technology leader Responsible for testing, implementation, and architecture Domain experts Recognizes insights worth the investment Developers Test and implement insights in software and business rules Data scientists Build models and exercises them to reveal potential insights Data engineers Gathers, assesses, integrates, prepares, and manages data Source: April 27, 2015, “Digital Insight Is The New Currency Of Business” Forrester report Implement multidisciplinary teams using agile techniques Complementwithexternalteamplayers
  • 21. And you’ll have several of them Source: April 27, 2015, “Digital Insight Is The New Currency Of Business” Forrester report
  • 22. © 2015 Forrester Research, Inc. Reproduction Prohibited 22 Best Practice #2 › Key success factors: • Recognize the importance of data “housekeeping” • Break down silos, and don’t allow data – and data governance - to become a tech responsibility PUT A SOLID GOVERNANCE FOUNDATION IN PLACE
  • 23. Data governance organizations must define and optimize operational processes Information Security Information Standardization Information Quality Information Life Cycle
  • 24. Governance Recommendations 1. Accept the fact that process improvement and data governance are intimately linked and must work hand-in- hand. 2. Involve executive sponsorship and support from IT and LoB (align business process and data stewards). 3. Evangelize the benefits of data governance in the language of the business, it’s NOT about the data. 4. Tackle data governance in a phased approach. 5. Establish a consistent approach and continuous improvement process for all elements of data governance. 6. Make data governance your default approach to all process and data related initiatives.
  • 25. © 2015 Forrester Research, Inc. Reproduction Prohibited 25 Best Practice #3 › Key success factors: • Shift focus from data to business outcomes • Aim to implement flexible data platforms Combine The Right Tools & Processes Into Systems Of Insights
  • 26. © 2015 Forrester Research, Inc. Reproduction Prohibited 26 Build/buy/subscribe to insights platforms Insights-driven applications • Sales and marketing • Operations • Product design • … lots more Insights fabric • Services framework • Data Virtualization • Big data management • Cloud data & insights services Data feed management Execution engines Data science workbench Collaboration and governance tools Source: April 27, 2015, “Digital Insight Is The New Currency Of Business” Forrester report
  • 27. © 2015 Forrester Research, Inc. Reproduction Prohibited 27 What’s different about systems of insight? The same › The need for all the data › Insights discovery › Most of the technology › Most skills & investment Different › Insights teams are multidisciplinary and embedded in operations. › Insights aren’t insights until proven valuable and implemented in software and customer engagement. › The digital insights architecture extends into collaboration, execution, feedback, and insights fabric.
  • 28. © 2015 Forrester Research, Inc. Reproduction Prohibited 28 Your best strategy – use SoI to engage Source: April 27, 2015, “Digital Insight Is The New Currency Of Business” Forrester report
  • 29. © 2015 Forrester Research, Inc. Reproduction Prohibited We are in a new data/insights economy 1. Old World of Corp. Data 2: New World of Customer Data 3: Next World of Internet Data 4: Future World of Data Economy Data Virtualization integration analysis
  • 30. © 2015 Forrester Research, Inc. Reproduction Prohibited 30 We are talking about a disruptive shift Winners Losers › Firms that treat big data as an IT function › Firms without the willpower to democratize data and insight › Vendors focused on closed insights technology systems › Firms that link data to action through digital insights › Insights-driven business service companies › Service providers building insights competencies › Vendors building digital insights ecosystems Data-driven Insights-driven
  • 31. Dr. Anastasio Molano Senior VP, Strategic Technical Office, Denodo Data Virtualization As a Key Enabler for “Systems of Insight”
  • 32. Agenda 01. What is Data Virtualization? 02. Reference Architecture – Data Virtualization 03. Customer Examples
  • 33. © 2014 Denodo Confidential What is Data Virtualization? ■ Data integration but… modern, agile and real-time ■ Abstraction + data services layer
  • 34. © 2014 Denodo Confidential Data Services Agile BI & Agile Apps Optimized Performance Any Data, Anywhere Integrate New Sources BI /Reporting Analytics Visualization Data SharingApplication Data Virtualization is Essential to Modern BI and Data Architecture
  • 35. © 2014 Denodo Confidential Data Virtualization: Key Capabilities Capability Key Takeaway 1 Agile Data Access Rapid access to internal and external sources 2 Logical Abstraction Virtualize physical data into logical views 3 Combine Structured and Unstructured Data Semantic integration of disparate data types 4 Data Services Provision in many formats with controlled security and service levels 5 Unified Data Governance Search, explore, query canonical data with lineage
  • 36. © 2014 Denodo Confidential Data Virtualization: Use Cases AGILE BUSINESS INTELLIGENCE Replaced traditional Operational BI with the Logical Data Warehouse. Transitioned from old perpetual licensing model to a new subscription-based licensing model. AGILE SINGLE VIEW APPLICATIONS Created ‘Unified Desktop’ that provides integrated customer information. Achieved customer satisfaction index of over 94%. BIG DATA, CLOUD INTEGRATION Created virtual layer to abstract access to Salesforce.com; creating data lake abstraction. Successfully reduced application licensing costs. DATA SERVICES Delivered commercial products developed using data services. Achieved faster time-to-market and increased revenue.
  • 37. © 2014 Denodo Confidential Data Virtualization Architecture
  • 38. © 2014 Denodo Confidential The “Logical Data Warehouse” Operational Production Systems Data Warehouse Data Virtualization Layer … Business Intelligence Tools External & Unstructured Data (SaaS, Web, docs, …) Up-to-date data DV Cache Analytical Appliances, Big Data, NoSQL
  • 39. © 2014 Denodo Confidential Customer Example – Single Customer View
  • 40. © 2014 Denodo Confidential Customer Example – Logical Data Warehouse
  • 41. © 2014 Denodo Confidential DV Enabling Big Data Data Virtualization Hadoop SQL Engines E T L BI / Reporting Analytics Enterprise Systems Web, Cloud and SaaS IBM Big SQL Hadoop
  • 42. © 2014 Denodo Confidential Customer Example: Telematics and Predictive Maintenance Dealer Maintenance Parts Inventory OSI PI Hadoop Cluster Tableau: Dealer / Customer Dashboard
  • 43. © 2014 Denodo Confidential Denodo at a Glance Denodo offers unified access to corporate data assets, flexible integration and management of data of all kinds, and real time data delivery for applications and analytics in a single solution that doesn't need to move data from their original physical repositories. Investors $7B Private Equity firm. Headquarters Palo Alto, CA. Main offices in New York, London, Madrid and A Coruña. Satellite offices in Chicago, Boise, Houston and Munich. Worldwide sales network through partners. Leadership Longest continuous focus on data virtualization and data services. Product leadership. Solutions expertise. Customers 250+ customers, including many F500 and G2000 companies across key verticals, such as healthcare, life sciences, technology, media, telecommunications, insurance, financial services, consumer/retail, energy and public sector. Global presence with customers throughout North America, EMEA, APAC and Latin America. Financials 2014 Growth: +71%. Solid growth projected for 2015: >100%.
  • 44. © 2014 Denodo Confidential Next steps… ■ Contact us: www.denodo.com/action/contact-us/en/ ■ Download Denodo Express, the free data virtualization tool: www.denodoexpress.com ■ Follow us:
  • 45. © Copyright Denodo Technologies. All rights reserved Unless otherwise specified, no part of this PDF file may be reproduced or utilized in any for or by any means, electronic or mechanical, including photocopying and microfilm, without prior the written authorization from Denodo Technologies. Thanks! www.denodo.com info@denodo.com Dr. Holger Kisker hkisker@forrester.com Twitter: @hkisker Dr. Anastasio Molano amolano@denodo.com