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 Science 101

NOVEMBER 20, 2019

All across the globe, more and more eCommerce businesses are setting up online shops and billions of online transactions that produce highly valuable data daily. With all of these data in a massive amount, modern organizations are realizing its utter importance and also think about different strategies to unlock the true value of the data.

Big Data 103

Big Data Data Strategy Strategy Cost-Benefit 103

CIO Business Intelligence

JANUARY 21, 2025

Deloittes State of Generative AI in the Enterprise reports nearly 70% have moved 30% or fewer of their gen AI experiments into production, and 41% of organizations have struggled to define and measure the impacts of their gen AI efforts. Even this breakdown leaves out data management, engineering, and security functions.

Cost-Benefit 142

Cost-Benefit Data-driven Strategy Marketing 142

Sisense

APRIL 17, 2020

While these are worthwhile applications, one blind spot that many teams charged with these projects share is that they look at the data they have on-hand before figuring out what kind of problems they wish to solve with it. “I So being outcome-focused is a way that can you stack-rank the data sets that are most important.

Data Strategy 81

Data Strategy Strategy Digital Transformation Data Warehouse 81

CIO Business Intelligence

NOVEMBER 27, 2024

To meet current and future requirements, enterprises must implement robust compliance frameworks that include real-time monitoring and proactive reporting mechanisms And business leaders know the risk of ineffective data governance strategies.

Data Governance 132

Data Governance Risk Insurance Metadata 132

Cloudera

DECEMBER 15, 2021

Organizations were evaluated based on their current use of data and analytics, parties championing the use of data and the extent to which data is used across processes, the presence of enterprise data strategies, and the extent to which capabilities relating to an Enterprise Data Cloud have been achieved. .

Data Strategy 84

Data Strategy Strategy Snapshot Data-driven 84

CIO Business Intelligence

JANUARY 12, 2023

Data is critical to success for universities. Data provides insights that support the overall strategy of the university. It can also help with specific use cases: from understanding where to invest resources and discovering new ways to engage pupils, to measuring academic outcomes and boosting student performance.

Data Strategy 98

Data Strategy Strategy IT Consulting 98

Dataiku

SEPTEMBER 21, 2021

To truly extract value from their data science, machine learning, and AI investments, organizations need to embed AI methodology into the core of not only their data strategy, but their holistic business model and processes.

Measurement 125

Measurement Machine Learning Data Science Data Strategy 125

CIO Business Intelligence

FEBRUARY 24, 2023

When setting goals and measuring progress, it often helps to assess the current state of the digital portfolio in terms of how digitally-enabled it is today, as well as to define the future vision in terms of the organization’s digital ambition. How often are we refreshing our portfolio and introducing new products and services?

Measurement 119

Measurement Digital Transformation Strategy Software 119

AWS Big Data

MARCH 26, 2024

A Gartner Marketing survey found only 14% of organizations have successfully implemented a C360 solution, due to lack of consensus on what a 360-degree view means, challenges with data quality, and lack of cross-functional governance structure for customer data.

Data Strategy 103

Data Strategy Strategy Data Warehouse Prescriptive Analytics 103

Smart Data Collective

APRIL 20, 2021

An overwhelming majority of the business executives surveyed, at 81 percent, acknowledge the importance of big data adoption as a differentiator. However, only 20 percent consider their digital transformation strategies effective. Ineffective digital transformation through poor data utilization.

Big Data 125

Big Data Strategy Digital Transformation Metrics 125

Rocket-Powered Data Science

MARCH 19, 2021

Focus on specific data types: e.g., time series, video, audio, images, streaming text (such as social media or online chat channels), network logs, supply chain tracking (e.g., RFID), inventory monitoring (SKU / UPC tracking).

Internet of Things 259

Internet of Things Analytics IoT Prescriptive Analytics 259

CIO Business Intelligence

APRIL 8, 2025

I aim to outline pragmatic strategies to elevate data quality into an enterprise-wide capability. However, even the most sophisticated models and platforms can be undone by a single point of failure: poor data quality. This challenge remains deceptively overlooked despite its profound impact on strategy and execution.

Data Quality 102

Data Quality Data-driven Key Performance Indicator Metadata 102

CIO Business Intelligence

JANUARY 30, 2024

Twenty-plus years in, CIOs have discovered that, when it comes to IT, everything is going to need a strategy. As CIO, you need a data strategy. You need a cloud strategy. You need a security strategy. Just this past year another strategy must-have arrived to upend nearly every organization.

Strategy 119

Strategy Consulting Big Data Measurement 119

TDAN

NOVEMBER 2, 2021

What is Data Governance and How Do You Measure Success? Data governance is a system for answering core questions about data. It begins with establishing key parameters: What is data, who can use it, how can they use it, and why? Answers will differ widely depending upon a business’ industry and growth strategy.

Data Governance 115

Data Governance Strategy Measurement IT 115

CIO Business Intelligence

MARCH 19, 2025

However, embedding ESG into an enterprise data strategy doesnt have to start as a C-suite directive. Developers, data architects and data engineers can initiate change at the grassroots level from integrating sustainability metrics into data models to ensuring ESG data integrity and fostering collaboration with sustainability teams.

IT 59

IT Data Governance Data-driven Metrics 59

CIO Business Intelligence

JULY 30, 2024

Organizations are under pressure to demonstrate commitment to an actionable sustainability strategy to meet regulatory obligations and to build positive market sentiment. We examine the opportunity to lead both risk mitigation and value creation by helping advance the enterprise sustainability strategy.

Strategy 105

Strategy Scorecard Measurement Cost-Benefit 105

Alation

OCTOBER 5, 2021

What is data governance and how do you measure success? Data governance is a system for answering core questions about data. It begins with establishing key parameters: What is data, who can use it, how can they use it, and why? Answers will differ widely depending upon a business’ industry and strategy for growth.

Data Governance 96

Data Governance Strategy Data Quality Metrics 96

datapine

JANUARY 24, 2021

It is not just important to gather all the existing information, but to consider the preparation of data and utilize it in the proper way, has become an indispensable value in developing a successful business strategy. That being said, it seems like we’re in the midst of a data analysis crisis. Did the best according to what?

IT 317

IT Statistics KPI Data-driven 317

O'Reilly on Data

MAY 14, 2020

In addition, the Research PM defines and measures the lifecycle of each research product that they support. According to VentureBeat , fewer than 15% of Data Science projects actually make it into production. This includes product roadmaps, experiments, and investments into user interface and design.

Management 364

Management Experimentation B2B Machine Learning 364

Cloudera

MARCH 25, 2021

While totally removing the silos may not be possible, a strategy that gets to a streamlined approach to data warehousing and a consistent, enterprise approach to data governance will yield measurable results – regulatory compliance related to privacy laws and improved operating results.

Data Strategy 65

Data Strategy Strategy Enterprise Insurance 65

Paul Blogs on BI

NOVEMBER 13, 2023

I have a had a lot of conversations about data strategy this year. With both the rise in organizations looking to move their data to the cloud and the increasing awareness of the power of BI and generative AI, data strategy has become a top priority. This is where the infamous “How do you eat an elephant?”

Data Strategy 52

Data Strategy Strategy Gap analysis Data Warehouse 52

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 Data Strategy Strategy Modeling 67

CIO Business Intelligence

AUGUST 22, 2023

Detecting and mitigating API abuse is critical to protect businesses and customers from data breaches, service disruptions, and compromised systems. This article explores effective strategies that empower organizations to safeguard their systems and valuable data. Utilize industry-standard protocols like OAuth 2.0

Strategy 98

Strategy Measurement Testing Software 98

Alation

MARCH 14, 2023

Data gathering and use pervades almost every business function these days — and it’s widely acknowledged that businesses with a clear strategy around data are best placed to succeed in competitive, challenging markets such as defence. What is a data strategy? Why is a data strategy important?

Data Strategy 52

Data Strategy Strategy Metadata Data Quality 52

DataKitchen

APRIL 26, 2021

In early April 2021, DataKItchen sat down with Jonathan Hodges, VP Data Management & Analytics, at Workiva ; Chuck Smith, VP of R&D Data Strategy at GlaxoSmithKline (GSK) ; and Chris Bergh, CEO and Head Chef at DataKitchen, to find out about their enterprise DataOps transformation journey, including key successes and lessons learned.

Measurement 246

Measurement Metrics Data-driven Dashboards 246

AWS Big Data

OCTOBER 29, 2024

A data analyst in a local market who wants to derive insights from the global sales data can create a use case with a dedicated AWS consumer account and request access to the dataset from a data steward. At one point, 25% of all data assets in the CDH were duplicates, a natural consequence of these measures.

Data Lake 110

Data Lake Sales Metadata Machine Learning 110

Jen Stirrup

NOVEMBER 15, 2022

Often, this problem can be due to the organization concentrating solely on technology and data. However, organizations can be supported by a synergistic approach by integrating systems thinking with the data strategy and technical perspective. How is it possible to enable data-driven decisions in a systems thinking approach?

Data Science 145

Data Science Digital Transformation Data-driven Measurement 145

Anmut

NOVEMBER 10, 2020

The UK’s National Data Strategy has been published for public consultation. We welcome it, especially its endorsement of treating data as a strategic asset. That’s why our purpose is to enable organisations to get the best return from their data assets. Valuation is essential for data sharing too.

Data Strategy 52

Data Strategy Strategy Management Data-driven 52

IBM Big Data Hub

MAY 28, 2024

In response, many organizations are focusing more on data protection , only to find a lack of formal guidelines and advice. While every data protection strategy is unique, below are several key components and best practices to consider when building one for your organization. What is a data protection strategy?

Strategy 81

Strategy Measurement Risk Cost-Benefit 81

Andrew White

MARCH 21, 2022

I have just completed some research with the name, “Sovereign Data Strategies and What they mean to you Organization”. This is in preparation for our upcoming Data and Analytics conference series. Trying to learn about and explore the impact of a range of sovereign data strategies is both complex and fun.

Data Strategy 105

Data Strategy Strategy Measurement Marketing 105

Smart Data Collective

SEPTEMBER 14, 2022

To get the range data from this technology, you will start by projecting a laser beam at a surface or an object. Then, measure the time it takes for the reflected beam of light to reach the receiver. Due to the high accuracy that Lidar data are known for, many people adopt them for various applications.

Data-driven 141

Data-driven Big Data Cost-Benefit Data Collection 141

TDAN

MAY 4, 2021

Since July 2018, over €274M in fines have been enforced by the EU General Data Protection Regulation.

Data Governance 105

Data Governance Strategy Measurement Data Processing 105

Sisense

SEPTEMBER 12, 2019

Every business needs a business intelligence strategy to take it forward. . As the Global Team Lead of BI Consultants at Sisense, I can say that the projects I’ve worked on where a BI strategy was involved, were more successful than projects without a strategy. But what is a BI strategy in today’s world?

Strategy 81

Strategy Dashboards Diagnostic Analytics Prescriptive Analytics 81

DataKitchen

JUNE 24, 2021

So we really prioritized the data that we thought had the biggest chance of delivering success in the end. Chapin also mentioned that measuring cycle time and benchmarking metrics upfront was absolutely critical. “It Before we jump into a methodology or even a data strategy-based approach, what are we trying to accomplish?

Metrics 211

Metrics ROI Measurement Cost-Benefit 211

BI-Survey

DECEMBER 22, 2020

Managers see data as relevant in the context of digitalization, but often think of data-related problems as minor details that have little strategic importance. Thus, it is taken for granted that companies should have a data strategy. But what is the scope of an effective strategy and who is affected by it?

Data-driven 52

Data-driven Data Strategy Strategy Enterprise 52

Rocket-Powered Data Science

JULY 13, 2023

Beyond the early days of data collection, where data was acquired primarily to measure what had happened (descriptive) or why something is happening (diagnostic), data collection now drives predictive models (forecasting the future) and prescriptive models (optimizing for “a better future”). Source: [link]

Analytics 167

Analytics Machine Learning Data Science Data Collection 167