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 for pharmacy trends
    How Data Analytics Is Tracking Trends in the Pharmacy Industry
    5 Min Read
    car expense data analytics
    Data Analytics for Smarter Vehicle Expense Management
    10 Min Read
    image fx (60)
    Data Analytics Driving the Modern E-commerce Warehouse
    13 Min Read
    big data analytics in transporation
    Turning Data Into Decisions: How Analytics Improves Transportation Strategy
    3 Min Read
    sales and data analytics
    How Data Analytics Improves Lead Management and Sales Results
    9 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

Social and mobile and cloud – where enterprise applications are going
Looking Beyond the Data Horizon: Building the Business Case for Data Quality
Big Data Sets The Tone For Web Development And UI Trends In 2019
A conversation with Jay Kreps about Project Voldemort
How Machine Learning Is Changing Big Data Management

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

dedicated servers for ai businesses
5 Reasons AI-Driven Business Need Dedicated Servers
Artificial Intelligence Exclusive News
data analytics for pharmacy trends
How Data Analytics Is Tracking Trends in the Pharmacy Industry
Analytics Big Data Exclusive
ai call centers
Using Generative AI Call Center Solutions to Improve Agent Productivity
Artificial Intelligence Exclusive
warehousing in the age of big data
Top Challenges Of Product Warehousing In The Age Of Big Data
Big Data Exclusive

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

Small Book Review: The Little SAS Book

3 Min Read

Why The Last Decade of BI Best-Practice Architecture is Rapidly Becoming Obsolete

25 Min Read

Financial Services Analysis For Free

2 Min Read

NIST definition of cloud computing doesn’t go far enough

4 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 is improving the safety of cars
From Bolts to Bots: How AI Is Fortifying the Automotive Industry
Artificial Intelligence
giveaway chatbots
How To Get An Award Winning Giveaway Bot
Big Data Chatbots Exclusive

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?