Transformation Governance2023-04-19T05:38:28+00:00

Jesper Lowgren

Enterprise Architect

Digital Thought-Leader

Board Advisor on Enterprise Transformation Governance

Australian Boards are not across the real state of transformation programs!

“Only 16% of Transformation Projects Succeed.”

McKinsey 2020

“70% of Transformation Projects Fail.”

Boston Consulting Group (BCG) 2020

Is your board informed of the real progress of enterprise transformation?

Can your board define and set your its own transformation success metrics?

What board capabilities are needed to successfully govern enterprise transformation?

As a transformation expert, I help Australian boards establish the right level of governance to provide a clear and accurate picture of enterprise transformations.

The Basics Transformation Governance

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Why Transformation Governance is Crucial to Identify Failing Projects

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Why Transformation Governance Needs to be a Board-Level Capability

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ARTICLES

August 2016

VIDEOS

Data profiling involves analyzing and summarizing a dataset's characteristics to understand its structure, quality, and content. It is a fundamental building block for other data activities, like cleansing and transformation. 00:00 - Start 00:29 - Use-Cases 01:10 - Data Profiling 01:22 - Data Structure Profiling 01:52 - Data Quality Profiling 03:00 - Data Profiling Process 03:08 - Step 1: Collect Data 03:20 - Step 2: Understand Data Structure 03:27 - Step 3: Explore Data 03:48 - Step 4: Analyze Data Quality Data Profiling Report Template: https://www.dropbox.com/scl/fi/14nvdvfripoet9zo81lzb/Data-Profiling-Report-Template.docx?rlkey=mq3gawe38vi2f59zx02hrx3cl&st=5jhkf8a1&dl=0 Data Structure Report Template: https://www.dropbox.com/scl/fi/uw5pwkr41rzednnjnxaz6/Data-Structure-Review-Report-Template.docx?rlkey=a0oyydcgkp9sntqb9feq3lage&st=falony4t&dl=0 #datacleaning #datacleansing #datamigration
Data Profiling Explained in Under 5 Minutes! - with templates
Data strategy is a misunderstood yet critical capability to thrive in the digital world. In this video, part 2, Jesper Lowgren and Louise Davey expand on the DALO data strategy framework by unpacking the Data Democratization and Data Protection capabilities. DALO is a modern and purpose-built digital strategy framework, developed specifically to guide organisations through a digital and data world infused with AI. #DataStrategy #DataManagement #DataGovernance 00:00 - Start 02:00 - Data Democratization 02:36 - Data Literacy 03:35 - Data Knowledge 04:43 - Analytics Tooling 05:19 - Data Platform 06:12 - Data Pipelines 06:53 - Data Protection 07:58 - Data Lifecycle 08:49 - Data Security 10:30 - Data Privacy 11:07 - Data Compliance 11:29 - Data Ethics 12:05 - Summary
Data Strategy Framework with Expert Insights on Data Democratization and Data Protection
Data migration is one of the key reasons digital transformation fails. This video unpacks four key factors for data migration success. Three are well-known, but the fourth is poorly understood and critical for success. 00:00 - Start 00:15 - Introduction 01:04 - Data Migration Definition 01:55 - Source Data Quality 03:10 - Current State Data Model 03:59 - Target State Data Model 04:57 - Process Differences 07:55 - Business Glossary 09:09 - Summary Database Normalization (1NF, 2NF, 3NF): https://youtu.be/SK4H5tTT6-M Database Normalization (5NF): https://youtu.be/49BsrjjlObY #datamigration
The Four Success Factors of Data Migration
Data strategy is misunderstood yet one of the most critical capabilities to thrive in the digital world. In this video, Jesper Lowgren and Louise Davey present a new data strategy framework, DALO, developed specifically to guide organisations through a digital and data world infused with AI. #DataStrategy #DataManagement #DataGovernance 00:00 - Start 02:04 - A New Data Strategy Framework 02:56 - The VAMP Data Strategy Framework 03:58 - Realize Value of Data 05:37 - Data as an Asset 09:46 - Summary
Game-Changing Data Strategy Framework with Expert Insights
This video unpacks the 8 most common technology terms and explains how to apply them and use them correctly. 00:00 - Start 00:14 - Introduction 01:14 - Common Misused Terms 01:55 - The System 02:48 - The Architecture 03:37 - The Model 04:14 - Quiz 1 05:01 - The Framework 05:34 - The Methodology 06:11 - The Design 06:26 - The Blueprint 06:50 - Quiz 2 07:17 - The Infrastructure 07:35 - CRM Example 10:05 - Summary
Speak Like A Consultant - 8 Technology Terms Unpacked!
This video addresses one of the most talked about, and least understood, topics of today: How to Become Data-Driven. In part 2, we share a data-driven assessment and an industry case study. In part 1, we shared a data-driven and a data-driven framework - https://www.youtube.com/watch?v=2HWPWgXJRlA 00:00 - Start 01:10 - The Data-Driven Framework 03:03 - Industry Case Study
How to Become a Data-Driven Business !! - part 2
In this video, Dr Haibo Yang and I explore one of the most talked about, and least understood, topics of today: How to Become Data-Driven. In part 1, we will share the nature of being data-driven and a data-driven framework. In our next video, part 2, we will share a data-driven assessment and an industry case study. 00:00 - Start 00:08 - Intro 01:09 - Data-Driven Definition 03:20 - Data-Driven Framework
How to Become a Data-Driven Business !!
Microsoft Fabric is a new data offering, based on OneLake, to connect all of an organisation's structured, semi-structured and unstructured data, to take an organisation to the next level. In this video, produced on behalf of DXC, I am discussing OneLake, structured, semi-structured and unstructured data with Dr Haibo Yang. 00:00 - Start 00:08 - Introduction 01:02 - Microsoft Data Strategy 02:07 - Structured vs Unstructured Data 03:45 - Data Silos 04:45 - Combining Data Use Case 05:28 - Outro 05:44 - Contact Us
Unlock your Data with Microsoft Fabric
New technologies like the Data Lakehouse is fuelling the AI revolution well beyond ChatGPT. It provides organisations with the ability to combine all its data, structured, semi-structured and unstructured for reporting, business intelligence and predictive analytics, using tools and techniques such as machine learning.
Data Warehouse vs Data Lake vs Data Lakehouse
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