Muutke küpsiste eelistusi

Delivering Data Analytics: A Step-By-Step Guide to Driving Adoption of Business Intelligence from Planning to Launch [Kõva köide]

  • Formaat: Hardback, 232 pages, kõrgus x laius x paksus: 240x164x22 mm, kaal: 600 g
  • Ilmumisaeg: 03-Dec-2021
  • Kirjastus: Kogan Page Ltd
  • ISBN-10: 1398602973
  • ISBN-13: 9781398602977
  • Formaat: Hardback, 232 pages, kõrgus x laius x paksus: 240x164x22 mm, kaal: 600 g
  • Ilmumisaeg: 03-Dec-2021
  • Kirjastus: Kogan Page Ltd
  • ISBN-10: 1398602973
  • ISBN-13: 9781398602977
Increase adoption and usage of data analytics with a step-by-step agile process to gain stakeholder buy-in and create actionable business value.

The importance of data analytics is well known, but how can you get end users to engage with analytics and business intelligence (BI) when adoption of new technology can be frustratingly slow or may not happen at all?

Avoid wasting time on dashboards and reports that no one uses with this practical guide to increasing analytics adoption by focusing on people and process, not technology. Pulling together agile, UX and change management principles, Delivering Data Analytics outlines a step-by-step, technology agnostic process designed to shift the organizational data culture and gain buy-in from users and stakeholders at every stage of the project.

This book outlines how to succeed and build trust with stakeholders amid the politics, ambiguity and lack of engagement in business. With case studies, templates, checklists and scripts based on the author's considerable experience in analytics and data visualisation, this book covers the full cycle from requirements gathering and data assessment to training and launch. Ensure lasting adoption, trust and, most importantly, actionable business value with this roadmap to creating user-centric analytics projects.

Arvustused

"Over the many years I have worked in data analytics the field has grown significantly. It's no longer enough to deliver accurate numbers and charts: we need to consider business value, governance, adoption, story-telling and even corporate culture. Nick Kelly's book covers all that ground and more." * Donald Farmer, Principle, Tree Hive Strategy * "Achieving real business impact with data goes far beyond technical considerations - you must focus on the human considerations. Through practical examples and real-world stories, Nick has crafted a book that will teach you to capitalize on the human side of data analytics and deliver business-changing results." * David Langer, Founder, Dave on Data * "If you are looking to build an analytic capability or wondering how to improve one, this book covers the why what and how in a down to earth narrative. If you want to fast track from lessons learned and get your program running from the get-go, read this book first." * Akihiko Katayama, Chief Technology Officer, BaronsAI *

About the author xi
Preface xiii
01 Insight mindset
1(16)
The adoption struggle
1(2)
Dashboard and reports---the data storefront
3(1)
Build it and they will come (spoiler: they won't)
3(1)
Supporting decision-making
4(2)
Managing the experience
6(2)
The value mindset
8(2)
The product mindset
10(2)
The elements of a process
12(3)
Shifting the data culture
15(1)
A note on self-service
15(2)
02 Strategy and planning
17(16)
The start of the process
18(1)
The intended goals
18(1)
The desired outcomes
19(1)
Achieving the outcomes
20(1)
The people involved
21(6)
The BI developer
27(3)
Release timeline
30(1)
Who and what will be impacted?
31(1)
The strategy template
32(1)
03 UX principles
33(14)
The seven principles of user experience
34(4)
The user experience formula
38(1)
Who owns user experience?
39(1)
Answering the why, what, and how
40(1)
UX disciplines
40(1)
The user persona
41(2)
Breaking down the persona
43(2)
Bringing it all together
45(2)
04 Requirements gathering
47(20)
The bottom-up approach
49(1)
The two types of interviews
50(1)
Answering questions
51(2)
Formulating a question
53(1)
Interview approach
54(3)
Stakeholder interviews
57(5)
End user interviews
62(3)
Alternatives to interviews
65(2)
05 Data assessment
67(16)
A path forward
69(2)
Scoring business value questions
71(1)
The scoring scale
72(1)
Scoring the dimensions
73(4)
The bigger picture of scoring
77(2)
Prioritization of BVQs
79(2)
The journey so far
81(2)
06 The agile process
83(20)
The historic approach
84(1)
The agile approach
85(3)
Rolling the agile principles together
88(1)
The living dashboard
89(1)
The stages of a successful process
90(6)
Bringing it all together
96(2)
Application
98(1)
Iteration duration
99(1)
Change requests
100(1)
Start now
100(1)
Reference
101(2)
07 Storytelling
103(22)
The story arc applied to insight
106(1)
Storytelling with acts
107(1)
The challenge of enterprise storytelling
108(1)
Translating acts to dashboards
109(1)
Understanding actions
110(2)
Scenario mapping
112(1)
What does the end user need to see?
113(1)
Key performance indicators
114(3)
How should it be filtered?
117(1)
Scenarios for taking action
118(1)
Actions
119(2)
The scenario mapping flow
121(2)
Getting to the "So what?"
123(2)
08 Crafting the vision
125(24)
User interface design principles
127(3)
Building on principles
130(2)
Dashboard layout types
132(1)
Dashboard hierarchy
132(2)
Tabs and grouping of BVQs
134(2)
One dashboard layout to rule them all
136(1)
Alternative layouts
137(2)
The primary layout
139(2)
Wireframes
141(5)
Wireframing tools
146(1)
Do not wait, start now
147(2)
09 Managing change
149(16)
Approaches to change
152(3)
Change management lite
155(3)
Application of the steps
158(2)
Key takeaways
160(1)
Tying back to the process
161(2)
Ongoing change
163(1)
Reference
164(1)
10 Adoption and ownership
165(16)
Compensation based on adoption
168(2)
Measuring adoption
170(1)
Technology approaches to adoption
171(2)
A note on self-service
173(1)
Assigning ownership and accountability
174(1)
Structures for adoption
175(2)
Scaled-down ownership
177(1)
What gets measured, gets managed
178(3)
11 Training and documentation
181(16)
Busy people, no time
182(1)
Just in time training
183(1)
The modern approach to user enablement
184(1)
Degree of user competence
185(1)
Where should training happen?
186(2)
Setting the context
188(1)
Types of training content
189(5)
Facilitated training
194(2)
The importance of enablement
196(1)
12 Launch
197(10)
Problem, agitate, solve
199(4)
The offer
203(1)
The launch sequence
203(2)
The next iteration
205(1)
Parting advice
205(2)
Index 207
Nicholas Kelly is a principal at G&K Consulting, based in Bonney Lake, Washington. He is a leader in analytics adoption having designed and developed dashboards for some of the world's largest companies, from global banks to Formula 1 teams. He is a frequent speaker at international conferences, has trained thousands of professionals in data visualization and analytics adoption and is the inventor of the Dashboard Wireframe Kit