Cookies help us display personalized product recommendations and ensure you have great shopping experience.

By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    data analytics and truck accident claims
    How Data Analytics Reduces Truck Accidents and Speeds Up Claims
    7 Min Read
    predictive analytics for interior designers
    Interior Designers Boost Profits with Predictive Analytics
    8 Min Read
    image fx (67)
    Improving LinkedIn Ad Strategies with Data Analytics
    9 Min Read
    big data and remote work
    Data Helps Speech-Language Pathologists Deliver Better Results
    6 Min Read
    data driven insights
    How Data-Driven Insights Are Addressing Gaps in Patient Communication and Equity
    8 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Slow BI and the BIG Method Part 3
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Business Intelligence > Slow BI and the BIG Method Part 3
Business Intelligence

Slow BI and the BIG Method Part 3

Steve Bennett
Steve Bennett
5 Min Read
SHARE

Continuing on from my recent posts introducing the BIG Method of Slow BI, here are the major steps and also the amount of effort I would usually expect each step to take (expressed as a percent of the total budget):

So under Slow BI, you expend a minimum of 65% of your budget before you start the strategic development. If you were to do this under a more traditional SDLC, you would probably lose political support for your program, quickly followed by loss of budget. And you will not have had the time to deliver anything close to justifying the money you have spent up to that point in time. On the other hand, if you launch into rapid prototyping you will know so little about the underlying data, any prototype you show the business is unlikely to be successful and/or feasible.

How can you afford to spend this 65%? Well, you can still implement and deliver value to your stakeholders prior to this but you do it as a rapid response. In a sense, you mask the main activities of your team (data analysis) with a series of tactical, quick wins that address the low hanging fruit. You identify a portfolio of deliverables that are:

  • quick to …

More Read

Forecasting Olympic Medals
The Secret BI / Big Data Playbook
Long Term Financial Planning with Financial Data Analytics
Mobile BI on the Apple iPad
New Healthcare Ecosystem Requires New Collaboration Approaches

Continuing on from my recent posts introducing the BIG Method of Slow BI,
here are the major steps and also the amount of effort I would usually
expect each step to take (expressed as a percent of the total budget):

So under Slow BI, you expend a minimum of 65% of your
budget before you start the strategic development. If you were to do
this under a more traditional SDLC, you would probably lose political
support for your program, quickly followed by loss of budget. And you
will not have had the time to deliver anything close to justifying the
money you have spent up to that point in time. On the other hand, if
you launch into rapid prototyping you will know so little about the
underlying data, any prototype you show the business is unlikely to be
successful and/or feasible.

How can you afford to spend this 65%? Well, you can still implement
and deliver value to your stakeholders prior to this but you do it as a
rapid response. In a sense, you mask the main activities of your team
(data analysis) with a series of tactical, quick wins that address the
low hanging fruit. You identify a portfolio of deliverables that are:

  • quick to achieve
  • specific to a small group of stakeholders
  • a solution has clear support from the benefiting stakeholder(s)
  • do not require an enterprise platform
  • solve a problem that is causing business pain
  • if at all possible, result in a concrete benefit – i.e. dollars
    saved through removal of a cost item, especially staff cuts. Mitigation
    of an identified risk is also good (especially an audit
    finding/compliance risk)
  • have a commitment from a stakeholder to quickly realise the benefit(s). 

What sort of projects are these in my experience? Usually they involve one or more of the following:

  • Replacement of a manual  (time consuming and/or unreliable) process. Usually involving Excel or Access
  • Involve a single department
  • Take less than 3 months from start to benefit realisation
  • Have permission from IT Architecture and Risk Management.

What are the main activities and deliverables of step 03?

03 Rapid Response

03.1 Business Problem Prioritisation

03.1.1 Risk/Reward Matrix

03.1.2 Rapid Response Priorities

03.2 Solution Design

03.2.1 Impact Statement

03.2.2 Business Benefit Statement

03.2.3 Business Commitment Statement

03.3 Rapid Response Program Schedule

03.9 Solution Build and Implement.

Next post: Planning, Analysis and Design.

Previous posts in this series:

  • Slow Business Intelligence
  • Slow BI and the BIG Method Part 1
  • Slow BI and the BIG Method Part 2

Link to original post

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

data analytics and truck accident claims
How Data Analytics Reduces Truck Accidents and Speeds Up Claims
Analytics Big Data Exclusive
predictive analytics for interior designers
Interior Designers Boost Profits with Predictive Analytics
Analytics Exclusive Predictive Analytics
big data and cybercrime
Stopping Lateral Movement in a Data-Heavy, Edge-First World
Big Data Exclusive
AI and data mining
What the Rise of AI Web Scrapers Means for Data Teams
Artificial Intelligence Big Data Exclusive

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

Accelerating “Contribution to your Business” Through DWI and BI

7 Min Read

No Data Warehouse Required: BI Reporting Extends Its Reach

4 Min Read

Smart’ fridges that run on renewable electricity and are capable…

1 Min Read
Image
Big DataBusiness IntelligenceMarketingSocial Data

4 Ways You Can Use Big Data to Market to Millennials in 2017

9 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

ai in ecommerce
Artificial Intelligence for eCommerce: A Closer Look
Artificial Intelligence
ai chatbot
The Art of Conversation: Enhancing Chatbots with Advanced AI Prompts
Chatbots

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-25 SmartData Collective. All Rights Reserved.
Go to mobile version
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?