SlideShare a Scribd company logo

Bi User Adoption - Struggles and Challenges

Ripu Jain
Ripu Jain

For as long as BI has existed, organizations have made significant investments in high-performing platforms, yet the solution is shunned by the people it was intended to help. The return on investment (ROI) is not in how the organization drives the BI program, but how efficiently it enables the organization to make strategic, operational, and mission-critical decisions. Getting the right information, to the right people, at the right time, is the holy grail of BI. It is therefore obvious that all BI managers want 100% adoption of their BI tools, the reality however is far from it.

1 of 9
Download to read offline
8/7/2018 1www.datavail.com
BI User Adoption
Ripu Jain
8/7/2018 2www.datavail.com
1.Why you should care
2.Lets define it
3.Struggles and Challenges
8/7/2018 3www.datavail.com
BI is only as
valuable as the
decisions it enables
8/7/2018 4www.datavail.com
8/7/2018 5www.datavail.com
Lets define it:
What is User
Adoption?
• #end-users who actively use BI VS
#end-users BI was intended for.
• Its more than just “training”.
• Goal is to monitor, measure, and improve
this ratio proactively, and over time.
8/7/2018 6www.datavail.com
Struggles &
Challenges
BUT WILL THEY STAY?

Recommended

If You Don’T Get It
If You Don’T Get ItIf You Don’T Get It
If You Don’T Get ItDhiren Gala
 
business intelligence in retail sector infovision
business intelligence in retail sector infovisionbusiness intelligence in retail sector infovision
business intelligence in retail sector infovisionrajinfovision
 
Get One Single View
Get One Single ViewGet One Single View
Get One Single ViewDhiren Gala
 
Business intelligence and data analytic for value realization
Business intelligence and data analytic for value realization Business intelligence and data analytic for value realization
Business intelligence and data analytic for value realization iyke ezeugo
 
Critical success factors to develop and deliver a forward-looking BI strategy...
Critical success factors to develop and deliver a forward-looking BI strategy...Critical success factors to develop and deliver a forward-looking BI strategy...
Critical success factors to develop and deliver a forward-looking BI strategy...SAP Analytics
 
Business intelligence(bi)
Business intelligence(bi)Business intelligence(bi)
Business intelligence(bi)ArvindDubey36
 

More Related Content

Similar to Bi User Adoption - Struggles and Challenges

Business Intelligence Challenges 2009
Business Intelligence Challenges 2009Business Intelligence Challenges 2009
Business Intelligence Challenges 2009Lonnell Branch
 
Analytical perspective for Banking
Analytical perspective for BankingAnalytical perspective for Banking
Analytical perspective for BankingPaisabazaar.com
 
Session 3 BI Requirements & Roadmap
Session 3 BI Requirements & RoadmapSession 3 BI Requirements & Roadmap
Session 3 BI Requirements & RoadmapIMA Columbia Chapter
 
Data Visualization - HorizonWatch 2015 Trend Report
Data Visualization - HorizonWatch 2015 Trend Report Data Visualization - HorizonWatch 2015 Trend Report
Data Visualization - HorizonWatch 2015 Trend Report Bill Chamberlin
 
Smart comp in 21st centry
Smart comp in 21st centrySmart comp in 21st centry
Smart comp in 21st centryMuhammad Shoaib
 
A BUSINESS APPLICAION FOR AN E-COMMERCE BUSINESS MANGEMENT THAT ANALYSES THE ...
A BUSINESS APPLICAION FOR AN E-COMMERCE BUSINESS MANGEMENT THAT ANALYSES THE ...A BUSINESS APPLICAION FOR AN E-COMMERCE BUSINESS MANGEMENT THAT ANALYSES THE ...
A BUSINESS APPLICAION FOR AN E-COMMERCE BUSINESS MANGEMENT THAT ANALYSES THE ...Waseem Bari
 
Ovum decision-matrix-bi-105875
Ovum decision-matrix-bi-105875Ovum decision-matrix-bi-105875
Ovum decision-matrix-bi-105875Hector Leal
 
Steps For BI Provision
Steps For BI ProvisionSteps For BI Provision
Steps For BI Provisionbroxltd
 
Business Intelligence Unit 1.pdf
Business Intelligence Unit 1.pdfBusiness Intelligence Unit 1.pdf
Business Intelligence Unit 1.pdfvikaschaurasia40
 
The Forrester Wave of Self Service BI Platforms
The Forrester Wave of Self Service BI PlatformsThe Forrester Wave of Self Service BI Platforms
The Forrester Wave of Self Service BI PlatformsMILL5
 
Challenges with Managing a BI Solution
Challenges with Managing a BI SolutionChallenges with Managing a BI Solution
Challenges with Managing a BI SolutionEric Molner
 
Running Head BUSINESS ANALYTICS IMPLEMENTATION PLAN PART 1 1.docx
Running Head BUSINESS ANALYTICS IMPLEMENTATION PLAN PART 1  1.docxRunning Head BUSINESS ANALYTICS IMPLEMENTATION PLAN PART 1  1.docx
Running Head BUSINESS ANALYTICS IMPLEMENTATION PLAN PART 1 1.docxjoellemurphey
 
What+is+BI.pptx
What+is+BI.pptxWhat+is+BI.pptx
What+is+BI.pptxMirugiaA
 
Data Architecture Strategies: Building an Enterprise Data Strategy – Where to...
Data Architecture Strategies: Building an Enterprise Data Strategy – Where to...Data Architecture Strategies: Building an Enterprise Data Strategy – Where to...
Data Architecture Strategies: Building an Enterprise Data Strategy – Where to...DATAVERSITY
 

Similar to Bi User Adoption - Struggles and Challenges (20)

Business Intelligence Challenges 2009
Business Intelligence Challenges 2009Business Intelligence Challenges 2009
Business Intelligence Challenges 2009
 
Analytical perspective for Banking
Analytical perspective for BankingAnalytical perspective for Banking
Analytical perspective for Banking
 
Session 3 BI Requirements & Roadmap
Session 3 BI Requirements & RoadmapSession 3 BI Requirements & Roadmap
Session 3 BI Requirements & Roadmap
 
Data Visualization - HorizonWatch 2015 Trend Report
Data Visualization - HorizonWatch 2015 Trend Report Data Visualization - HorizonWatch 2015 Trend Report
Data Visualization - HorizonWatch 2015 Trend Report
 
Business Intelligence
Business IntelligenceBusiness Intelligence
Business Intelligence
 
Smart comp in 21st centry
Smart comp in 21st centrySmart comp in 21st centry
Smart comp in 21st centry
 
A BUSINESS APPLICAION FOR AN E-COMMERCE BUSINESS MANGEMENT THAT ANALYSES THE ...
A BUSINESS APPLICAION FOR AN E-COMMERCE BUSINESS MANGEMENT THAT ANALYSES THE ...A BUSINESS APPLICAION FOR AN E-COMMERCE BUSINESS MANGEMENT THAT ANALYSES THE ...
A BUSINESS APPLICAION FOR AN E-COMMERCE BUSINESS MANGEMENT THAT ANALYSES THE ...
 
Ovum decision-matrix-bi-105875
Ovum decision-matrix-bi-105875Ovum decision-matrix-bi-105875
Ovum decision-matrix-bi-105875
 
ca mayu.pptx
ca mayu.pptxca mayu.pptx
ca mayu.pptx
 
Steps For BI Provision
Steps For BI ProvisionSteps For BI Provision
Steps For BI Provision
 
Business.pdf
Business.pdfBusiness.pdf
Business.pdf
 
Business Intelligence Unit 1.pdf
Business Intelligence Unit 1.pdfBusiness Intelligence Unit 1.pdf
Business Intelligence Unit 1.pdf
 
The Forrester Wave of Self Service BI Platforms
The Forrester Wave of Self Service BI PlatformsThe Forrester Wave of Self Service BI Platforms
The Forrester Wave of Self Service BI Platforms
 
Challenges with Managing a BI Solution
Challenges with Managing a BI SolutionChallenges with Managing a BI Solution
Challenges with Managing a BI Solution
 
Running Head BUSINESS ANALYTICS IMPLEMENTATION PLAN PART 1 1.docx
Running Head BUSINESS ANALYTICS IMPLEMENTATION PLAN PART 1  1.docxRunning Head BUSINESS ANALYTICS IMPLEMENTATION PLAN PART 1  1.docx
Running Head BUSINESS ANALYTICS IMPLEMENTATION PLAN PART 1 1.docx
 
BI+A Conference 2018
BI+A Conference 2018BI+A Conference 2018
BI+A Conference 2018
 
What+is+BI.pptx
What+is+BI.pptxWhat+is+BI.pptx
What+is+BI.pptx
 
BI
BIBI
BI
 
bi
bibi
bi
 
Data Architecture Strategies: Building an Enterprise Data Strategy – Where to...
Data Architecture Strategies: Building an Enterprise Data Strategy – Where to...Data Architecture Strategies: Building an Enterprise Data Strategy – Where to...
Data Architecture Strategies: Building an Enterprise Data Strategy – Where to...
 

More from Ripu Jain

Dashboarding as a Service
Dashboarding as a ServiceDashboarding as a Service
Dashboarding as a ServiceRipu Jain
 
Business Intelligence Project
Business Intelligence ProjectBusiness Intelligence Project
Business Intelligence ProjectRipu Jain
 
File Sharing
File SharingFile Sharing
File SharingRipu Jain
 
Sharepoint Project
Sharepoint ProjectSharepoint Project
Sharepoint ProjectRipu Jain
 
Toro Internship
Toro InternshipToro Internship
Toro InternshipRipu Jain
 

More from Ripu Jain (7)

Dashboarding as a Service
Dashboarding as a ServiceDashboarding as a Service
Dashboarding as a Service
 
HBX CORe
HBX COReHBX CORe
HBX CORe
 
Big data
Big dataBig data
Big data
 
Business Intelligence Project
Business Intelligence ProjectBusiness Intelligence Project
Business Intelligence Project
 
File Sharing
File SharingFile Sharing
File Sharing
 
Sharepoint Project
Sharepoint ProjectSharepoint Project
Sharepoint Project
 
Toro Internship
Toro InternshipToro Internship
Toro Internship
 

Recently uploaded

Introducing the New FME Community Webinar - Feb 21, 2024 (2).pdf
Introducing the New FME Community Webinar - Feb 21, 2024 (2).pdfIntroducing the New FME Community Webinar - Feb 21, 2024 (2).pdf
Introducing the New FME Community Webinar - Feb 21, 2024 (2).pdfSafe Software
 
Harnessing the Power of GenAI for Exceptional Product Outcomes by Booking.com...
Harnessing the Power of GenAI for Exceptional Product Outcomes by Booking.com...Harnessing the Power of GenAI for Exceptional Product Outcomes by Booking.com...
Harnessing the Power of GenAI for Exceptional Product Outcomes by Booking.com...Product School
 
Early Tech Adoption: Foolish or Pragmatic? - 17th ISACA South Florida WOW Con...
Early Tech Adoption: Foolish or Pragmatic? - 17th ISACA South Florida WOW Con...Early Tech Adoption: Foolish or Pragmatic? - 17th ISACA South Florida WOW Con...
Early Tech Adoption: Foolish or Pragmatic? - 17th ISACA South Florida WOW Con...Adrian Sanabria
 
Enhancing Productivity and Insight A Tour of JDK Tools Progress Beyond Java 17
Enhancing Productivity and Insight  A Tour of JDK Tools Progress Beyond Java 17Enhancing Productivity and Insight  A Tour of JDK Tools Progress Beyond Java 17
Enhancing Productivity and Insight A Tour of JDK Tools Progress Beyond Java 17Ana-Maria Mihalceanu
 
Imaging and Design for the Online Environment Part 1.pptx
Imaging and Design for the Online Environment Part 1.pptxImaging and Design for the Online Environment Part 1.pptx
Imaging and Design for the Online Environment Part 1.pptxPower Point
 
"Running Open-Source LLM models on Kubernetes", Volodymyr Tsap
"Running Open-Source LLM models on Kubernetes",  Volodymyr Tsap"Running Open-Source LLM models on Kubernetes",  Volodymyr Tsap
"Running Open-Source LLM models on Kubernetes", Volodymyr TsapFwdays
 
The Art of the Possible with Graph by Dr Jim Webber Neo4j.pptx
The Art of the Possible with Graph by Dr Jim Webber Neo4j.pptxThe Art of the Possible with Graph by Dr Jim Webber Neo4j.pptx
The Art of the Possible with Graph by Dr Jim Webber Neo4j.pptxNeo4j
 
Avoiding Bad Stats and the Benefits of Playing Trivia with Friends: PancakesC...
Avoiding Bad Stats and the Benefits of Playing Trivia with Friends: PancakesC...Avoiding Bad Stats and the Benefits of Playing Trivia with Friends: PancakesC...
Avoiding Bad Stats and the Benefits of Playing Trivia with Friends: PancakesC...Adrian Sanabria
 
Battle of React State Managers in frontend applications
Battle of React State Managers in frontend applicationsBattle of React State Managers in frontend applications
Battle of React State Managers in frontend applicationsEvangelia Mitsopoulou
 
From Challenger to Champion: How SpiraPlan Outperforms JIRA+Plugins
From Challenger to Champion: How SpiraPlan Outperforms JIRA+PluginsFrom Challenger to Champion: How SpiraPlan Outperforms JIRA+Plugins
From Challenger to Champion: How SpiraPlan Outperforms JIRA+PluginsInflectra
 
How we think about an advisor tech stack
How we think about an advisor tech stackHow we think about an advisor tech stack
How we think about an advisor tech stackSummit
 
How to write an effective Cyber Incident Response Plan
How to write an effective Cyber Incident Response PlanHow to write an effective Cyber Incident Response Plan
How to write an effective Cyber Incident Response PlanDatabarracks
 
Enterprise Architecture As Strategy - Book Review
Enterprise Architecture As Strategy - Book ReviewEnterprise Architecture As Strategy - Book Review
Enterprise Architecture As Strategy - Book ReviewAshraf Fouad
 
"How we created an SRE team in Temabit as a part of FOZZY Group in conditions...
"How we created an SRE team in Temabit as a part of FOZZY Group in conditions..."How we created an SRE team in Temabit as a part of FOZZY Group in conditions...
"How we created an SRE team in Temabit as a part of FOZZY Group in conditions...Fwdays
 
Dynamical systems simulation in Python for science and engineering
Dynamical systems simulation in Python for science and engineeringDynamical systems simulation in Python for science and engineering
Dynamical systems simulation in Python for science and engineeringMassimo Talia
 
AI Act & Standardization: UNINFO involvement
AI Act & Standardization: UNINFO involvementAI Act & Standardization: UNINFO involvement
AI Act & Standardization: UNINFO involvementMimmo Squillace
 
Are Human-generated Demonstrations Necessary for In-context Learning?
Are Human-generated Demonstrations Necessary for In-context Learning?Are Human-generated Demonstrations Necessary for In-context Learning?
Are Human-generated Demonstrations Necessary for In-context Learning?MENGSAYLOEM1
 
"Testing of Helm Charts or There and Back Again", Yura Rochniak
"Testing of Helm Charts or There and Back Again", Yura Rochniak"Testing of Helm Charts or There and Back Again", Yura Rochniak
"Testing of Helm Charts or There and Back Again", Yura RochniakFwdays
 
Progress Report: Ministry of IT under Dr. Umar Saif Aug 23-Feb'24
Progress Report: Ministry of IT under Dr. Umar Saif Aug 23-Feb'24Progress Report: Ministry of IT under Dr. Umar Saif Aug 23-Feb'24
Progress Report: Ministry of IT under Dr. Umar Saif Aug 23-Feb'24Umar Saif
 

Recently uploaded (20)

Introducing the New FME Community Webinar - Feb 21, 2024 (2).pdf
Introducing the New FME Community Webinar - Feb 21, 2024 (2).pdfIntroducing the New FME Community Webinar - Feb 21, 2024 (2).pdf
Introducing the New FME Community Webinar - Feb 21, 2024 (2).pdf
 
Harnessing the Power of GenAI for Exceptional Product Outcomes by Booking.com...
Harnessing the Power of GenAI for Exceptional Product Outcomes by Booking.com...Harnessing the Power of GenAI for Exceptional Product Outcomes by Booking.com...
Harnessing the Power of GenAI for Exceptional Product Outcomes by Booking.com...
 
Early Tech Adoption: Foolish or Pragmatic? - 17th ISACA South Florida WOW Con...
Early Tech Adoption: Foolish or Pragmatic? - 17th ISACA South Florida WOW Con...Early Tech Adoption: Foolish or Pragmatic? - 17th ISACA South Florida WOW Con...
Early Tech Adoption: Foolish or Pragmatic? - 17th ISACA South Florida WOW Con...
 
Enhancing Productivity and Insight A Tour of JDK Tools Progress Beyond Java 17
Enhancing Productivity and Insight  A Tour of JDK Tools Progress Beyond Java 17Enhancing Productivity and Insight  A Tour of JDK Tools Progress Beyond Java 17
Enhancing Productivity and Insight A Tour of JDK Tools Progress Beyond Java 17
 
Imaging and Design for the Online Environment Part 1.pptx
Imaging and Design for the Online Environment Part 1.pptxImaging and Design for the Online Environment Part 1.pptx
Imaging and Design for the Online Environment Part 1.pptx
 
"Running Open-Source LLM models on Kubernetes", Volodymyr Tsap
"Running Open-Source LLM models on Kubernetes",  Volodymyr Tsap"Running Open-Source LLM models on Kubernetes",  Volodymyr Tsap
"Running Open-Source LLM models on Kubernetes", Volodymyr Tsap
 
The Art of the Possible with Graph by Dr Jim Webber Neo4j.pptx
The Art of the Possible with Graph by Dr Jim Webber Neo4j.pptxThe Art of the Possible with Graph by Dr Jim Webber Neo4j.pptx
The Art of the Possible with Graph by Dr Jim Webber Neo4j.pptx
 
Avoiding Bad Stats and the Benefits of Playing Trivia with Friends: PancakesC...
Avoiding Bad Stats and the Benefits of Playing Trivia with Friends: PancakesC...Avoiding Bad Stats and the Benefits of Playing Trivia with Friends: PancakesC...
Avoiding Bad Stats and the Benefits of Playing Trivia with Friends: PancakesC...
 
Battle of React State Managers in frontend applications
Battle of React State Managers in frontend applicationsBattle of React State Managers in frontend applications
Battle of React State Managers in frontend applications
 
From Challenger to Champion: How SpiraPlan Outperforms JIRA+Plugins
From Challenger to Champion: How SpiraPlan Outperforms JIRA+PluginsFrom Challenger to Champion: How SpiraPlan Outperforms JIRA+Plugins
From Challenger to Champion: How SpiraPlan Outperforms JIRA+Plugins
 
How we think about an advisor tech stack
How we think about an advisor tech stackHow we think about an advisor tech stack
How we think about an advisor tech stack
 
How to write an effective Cyber Incident Response Plan
How to write an effective Cyber Incident Response PlanHow to write an effective Cyber Incident Response Plan
How to write an effective Cyber Incident Response Plan
 
Enterprise Architecture As Strategy - Book Review
Enterprise Architecture As Strategy - Book ReviewEnterprise Architecture As Strategy - Book Review
Enterprise Architecture As Strategy - Book Review
 
"How we created an SRE team in Temabit as a part of FOZZY Group in conditions...
"How we created an SRE team in Temabit as a part of FOZZY Group in conditions..."How we created an SRE team in Temabit as a part of FOZZY Group in conditions...
"How we created an SRE team in Temabit as a part of FOZZY Group in conditions...
 
Dynamical systems simulation in Python for science and engineering
Dynamical systems simulation in Python for science and engineeringDynamical systems simulation in Python for science and engineering
Dynamical systems simulation in Python for science and engineering
 
In sharing we trust. Taking advantage of a diverse consortium to build a tran...
In sharing we trust. Taking advantage of a diverse consortium to build a tran...In sharing we trust. Taking advantage of a diverse consortium to build a tran...
In sharing we trust. Taking advantage of a diverse consortium to build a tran...
 
AI Act & Standardization: UNINFO involvement
AI Act & Standardization: UNINFO involvementAI Act & Standardization: UNINFO involvement
AI Act & Standardization: UNINFO involvement
 
Are Human-generated Demonstrations Necessary for In-context Learning?
Are Human-generated Demonstrations Necessary for In-context Learning?Are Human-generated Demonstrations Necessary for In-context Learning?
Are Human-generated Demonstrations Necessary for In-context Learning?
 
"Testing of Helm Charts or There and Back Again", Yura Rochniak
"Testing of Helm Charts or There and Back Again", Yura Rochniak"Testing of Helm Charts or There and Back Again", Yura Rochniak
"Testing of Helm Charts or There and Back Again", Yura Rochniak
 
Progress Report: Ministry of IT under Dr. Umar Saif Aug 23-Feb'24
Progress Report: Ministry of IT under Dr. Umar Saif Aug 23-Feb'24Progress Report: Ministry of IT under Dr. Umar Saif Aug 23-Feb'24
Progress Report: Ministry of IT under Dr. Umar Saif Aug 23-Feb'24
 

Bi User Adoption - Struggles and Challenges

Editor's Notes

  1. For as long as BI has existed, organizations have made significant investments in high-performing platforms, yet the solution is shunned by the people it was intended to help. The return on investment (ROI) is not in how the organization drives the BI program, but how efficiently it enables the organization to make strategic, operational, and mission-critical decisions. Getting the right information, to the right people, at the right time, is the holy grail of BI. It is therefore obvious that all BI managers want 100% adoption of their BI tools, the reality however is far from it.
  2. Even with modern self-service BI and analytics tools with mobile and embedded capabilities, user adoption has only increased 7 percentage points in 10 years.
  3. User Adoption is the ratio of #end-users who actively use BI (either to consume information and make decisions, or do exploratory/explanatory analyses) VS #end-users BI was intended for. User Adoption is more than just “training”. Offering a contextual based training can help build user confidence. Learning the features and functionality apart, the users need to be trained how to use the tool within the organization in context of their role and department. This is more likely to encourage the user to use and rely on the system for data-driven decisions and business improvements. Lastly, user adoption doesn’t stop after training the users. It’s an on-going process that needs to be monitored, measured and improved over time.
  4. Pulling all data into the DW and assuming the analysts and business users will start using BI tools to extract information and make decisions has been proven false over the years.
  5. Different users have different needs. Taking a one-size-fits-all approach to BI and analytics will alienate portions of your user base and hinder pervasiveness. So it’s important to know who your users are and what requirements they have. Your ability to satisfy the distinct needs of each type of user in your organization will directly impact your adoption rates. Executives and management love their dashboards loaded with KPIs. Your analysts and power business users have the time, skills, and inclination to leverage data discovery and visualization tools. One way to address this is to create different BI User Personas, and group your end users in those personas based on how they will interact with the system. Examples of BI User Personas
  6. Another reason for lack of BI User adoption could be “lack of trust in reports”. Your users expect your BI and analytics environment to serve as a trusted means of gathering insight for planning and decision-making. This lack of trust can be because of several reasons: Lack of experience with tool – as mentioned previously, this can be addressed by end user training workshops aligned with end user role, subject matter, and the right context.   lack of data quality and standardization – Almost every organization has data quality issues. If your users question the accuracy and consistency of the data being delivered to them, they’ll abandon your solution and find other ways to get the information they want. This issue can be addressed by employing DQ tools and MDM programs. The cleaner your data, the more insights your team will be able to draw from your systems.  The more insights they draw, the more they’ll find value in your BI solution. lack of confidence where the data is coming from and how its transformed – addressed by hosting workshops for end users and maintaining data lineage documentation lack of common data definition thereby obtaining different results from same DW – addressed by employing Data Catalog tools lack of security and governance – Lack of a security strategy or incomplete security capabilities leads to the potential for inappropriate information distribution or the inability to provide information to the broadest audience. Questioning the data or arguing over whose data or report is the most accurate are common results of a lack of governance. This cam be addressed by adhering governance principles and having a robust DG program in place.
  7. Some BI and analytics initiatives experience low adoption because of poor performance and stability. Large data volumes, poorly designed data infrastructure, an increasing user base, and a high number of ad hoc or unplanned queries are just some of the factors that can negatively impact response times. Regardless of the underlying cause, users can become impatient and will seek out other ways to get the information they need. “If users have to wait ten seconds or more on a regular basis, they grow impatient and stop using the BI tool.” So while all of these challenges are common occurrences at organizations that hinder BI user adoption, every organization is different and every BI program is different.