Peter James Thomas

MARCH 17, 2020

Data Strategy creation is one of the main pieces of work that I have been engaged in over the last decade [1]. In my last article, Measuring Maturity , I wrote about Data Maturity and how this relates to both Data Strategy and a Data Capability Review. Larger PDF version (opens in a new tab).

Data Strategy 80

Data Strategy Strategy Cost-Benefit Business Intelligence 80

Data Insight

FEBRUARY 17, 2020

Success is a combination of many things; data, knowing what to do with it, access to the best tools, and how to turn it into value and insights – this is all done by the best people. Carmen Vicelich founded Data Insight in 2014 and mortgage technology business Valocity shortly after. This is where Data Insight steps in.

Dashboards 52

Dashboards Measurement Data Strategy Strategy 52

IBM Big Data Hub

AUGUST 7, 2023

Tackling complexities in clinical trial site selection: A playground for a new technology and AI operating model Enrollment strategists and site performance analysts are responsible for constructing and prioritizing robust end-to-end enrollment strategies tailored to specific trials. To do so they require data, which is in no shortage.

Optimization 61

Optimization Forecasting Data-driven Strategy 61

Peter James Thomas

MARCH 9, 2020

The author, engaged in measuring maturity – © Jennifer Thomas Photography – view full photo. In the thirteen years that have passed since the beginning of 2007, I have helped ten organisations to develop commercially-focused Data Strategies [1].

Measurement 67

Measurement Strategy Data Strategy Modeling 67

Domino Data Lab

APRIL 3, 2019

So we had three tiers providing a separation of concerns: presentation, logic, data. Note that data warehouse (DW) and business intelligence (BI) practices both emerged circa 1990. Given those two, plus SQL gaining eminence as a database strategy, a decidedly relational picture coalesced throughout the decade. credit cards).

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

Peter James Thomas

OCTOBER 1, 2019

For example if the categories related to products, then the size of rectangle appearing against Product A might be proportional to the number sold, or the value of such sales. | © JMB (2014) | Used under a Creative Commons licence |.

Sales 61

Sales Measurement Statistics Data Architecture 61

Alation

NOVEMBER 9, 2021

Why should an enterprise care about data culture? Because the lack of a robust data culture can derail your entire data strategy. People are convinced of data’s value but they struggle to use it effectively. But there is a way to improve your data culture. What is Data Culture?

Data-driven 52

Data-driven Cost-Benefit Reporting Data Governance 52