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. I find Data Strategy creation a very rewarding process.

Data Strategy 80

Data Strategy Strategy Cost-Benefit Business Intelligence 80

CIO Business Intelligence

AUGUST 23, 2023

Having joined its executive team 18 months ago, CDIO Jennifer Hartsock oversees its global technology portfolio, and digital and data strategies, so she has to keep track of a lot of moving parts, both large and small, to help achieve the company’s big corporate strategy about being ‘better together.’ “It

Data Strategy 98

Data Strategy Strategy B2B Digital Transformation 98

CIO Business Intelligence

JUNE 20, 2022

It shows how we will use the power of data to bring benefits to all parts of health and social care.”. Greater control over patient data, and pioneering research with TREs. The strategy also introduced so-called trusted research environments (TRE).

Data Strategy 105

Data Strategy Strategy Digital Transformation Data Architecture 105

CIO Business Intelligence

JANUARY 12, 2023

Data is critical to success for universities. Data provides insights that support the overall strategy of the university. Data also lies at the heart of creating a secure, Trusted Research Environment to accelerate and improve research. The first step is to put in place a robust data strategy.

Data Strategy 98

Data Strategy Strategy IT Consulting 98

Data Science 101

DECEMBER 3, 2019

Building a data strategy is a great idea. It helps to avoid many of the Challenges of a Data Science Projects. General Questions Before Starting a Data Strategy. Do you have a process for solving problems involving data? What are the biggest challenges in your business? What data do you collect?

Data Strategy 84

Data Strategy Strategy Data Warehouse Dashboards 84

CIO Business Intelligence

FEBRUARY 14, 2023

Kubernetes can align a real-time AI execution strategy for microservices, data, and machine learning models, as it adds dynamic scaling to all of these things. Kubernetes has its own complexities, and creating a unified approach across different teams and business units is even more difficult.

Data Strategy 116

Data Strategy Strategy Machine Learning Data-driven 116

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 Measurement Big Data 119

Peter James Thomas

MARCH 23, 2020

In my last article, Data Strategy Creation – A Roadmap , I hopefully gave some sense of the complexities involved in developing a commercially focussed Data Strategy. I had successfully developed and then executed a Data Strategy for the European operations of a leading Global General Insurer.

Data Strategy 89

Data Strategy Strategy Insurance Interactive 89

BizAcuity

MAY 16, 2022

Now, businesses, regardless of the industry, are leveraging data and Business Intelligence to stay ahead of the competition. Business Intelligence. In brief, business intelligence is about how well you leverage, manage and analyze business data. Data Integration.

Business Intelligence 52

Business Intelligence Data mining Visualization Data Lake 52

CIO Business Intelligence

APRIL 5, 2023

Stewart Bond, IDC ’s vice president for data integration and intelligence software, will dissect this foundational element and how it drives strategy as well as answer audience questions about governance, ownership, security, privacy, and more. Want to know how top-performing companies are approaching aspects of cloud strategy?

Strategy 98

Strategy Data Strategy Digital Transformation Data-driven 98

TDAN

SEPTEMBER 5, 2023

Data is the lifeblood of modern organizations, and as such, it must be carefully managed and protected. Whether it’s financial data, personal health information, or customer data, organizations that generate and manage data must implement a comprehensive data governance strategy.

Data Governance 52

Data Governance Business Intelligence Strategy Management 52

CIO Business Intelligence

MARCH 4, 2024

The data mesh debate This is not to say that there is a consensus that data mesh is a universal solution. Stakeholders are currently waging an open debate across the industry of centralization versus federated data strategies. To learn more, visit us here.

Insurance 98

Insurance Strategy Data Governance Data Integration 98

Srividya Sridharan

SEPTEMBER 3, 2020

And data, analytics, and AI are going to drive this future. These capabilities are becoming more crucial to stay ahead of uncertainty and change and get smarter about every aspect of your business: your customers, your suppliers and partners, your competitors, your employees, your processes, your operations, and your markets.

Data Strategy 108

Data Strategy Strategy Uncertainty Marketing 108

IBM Big Data Hub

JANUARY 5, 2023

The right data architecture can help your organization improve data quality because it provides the framework that determines how data is collected, transported, stored, secured, used and shared for business intelligence and data science use cases. Practice proper data hygiene across interfaces.

Data Quality 52

Data Quality Data Architecture Strategy Data Lake 52

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

IBM Big Data Hub

APRIL 25, 2023

In a prior blog , we pointed out that warehouses, known for high-performance data processing for business intelligence, can quickly become expensive for new data and evolving workloads. To do so, Presto and Spark need to readily work with existing and modern data warehouse infrastructures.

Optimization 57

Optimization Strategy Data Warehouse Cost-Benefit 57

CIO Business Intelligence

AUGUST 1, 2022

Without an overall strategy for modernization, companies risk mismanaging their edge-to-cloud data efforts, either overprovisioning, which incurs unnecessary costs, or underprovisioning, which impedes their ability to fully deliver for customers or hit key business goals. Partner Ecosystem at Work.

Strategy 98

Strategy Cost-Benefit Risk Management 98

TDAN

SEPTEMBER 5, 2023

Data driven marketing strategies supported by customer insights can significantly boost the customer experience, leading to higher customer retention rates.

Data-driven 52

Data-driven Strategy Marketing IT 52

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

CIO Business Intelligence

MARCH 27, 2024

Le aziende italiane investono in infrastrutture, software e servizi per la gestione e l’analisi dei dati (+18% nel 2023, pari a 2,85 miliardi di euro, secondo l’Osservatorio Big Data & Business Analytics della School of Management del Politecnico di Milano), ma quante sono giunte alla data maturity?

Data Governance 52

Data Governance Data Lake Data Strategy Data-driven 52

TDAN

AUGUST 20, 2019

Gathering business intelligence is a process that starts from within. Collating internal intelligence is of vital importance before searching the market. Oftentimes, the internal departments of your business will offer better suggestions and methods than any others you can find.

Business Intelligence 40

Business Intelligence Marketing Data Strategy Big Data 40

Srividya Sridharan

OCTOBER 22, 2019

It’s T minus two weeks to Forrester’s 2nd Data Strategy & Insights Forum in Austin, TX. Over 300 data and analytics leaders will gather to share, learn and get inspired!

Strategy 83

Strategy Data Analytics Analytics Data Strategy 83

Srividya Sridharan

SEPTEMBER 3, 2020

And data, analytics, and AI are going to drive this future. These capabilities are becoming more crucial to stay ahead of uncertainty and change and get smarter about every aspect of your business: your customers, your suppliers and partners, your competitors, your employees, your processes, your operations, and your markets.

Data Strategy 40

Data Strategy Strategy Uncertainty Marketing 40

Smart Data Collective

DECEMBER 10, 2023

However, many companies still are not using big data to its full potential. According to one survey cited by Dataversity, only 53% of companies report having formalized data strategies. The good news is that there are a lot of […]

Big Data 107

Big Data Data Strategy Strategy Reporting 107

TDAN

DECEMBER 3, 2019

When it comes to marketing, business owners need to be fast in adjusting their strategies to fit the continuous advancement in technologies. Today, nearly everyone has a mobile phone or another smart mobile device with them at all times.

Marketing 64

Marketing Strategy Statistics Technology 64

CIO Business Intelligence

APRIL 8, 2024

Like other data-driven initiatives, Souza says Digital Athlete uses data rather than hunches and instinct to understand what’s happening on the field during games and practices. The first thing is having a data strategy, having a foundation of data, and then asking questions of it.”

Analytics 118

Analytics Broadcasting Predictive Analytics Metrics 118

Smart Data Collective

JANUARY 26, 2021

We covered the benefits of using machine learning and other big data tools in translations in the past. However, big data often encapsulates using constantly growing data sets to determine business intelligence objectives, such as when to expand into a new market, which product might perform overseas, and which regions to expand into.

Data Architecture 118

Data Architecture Big Data Data Strategy Data-driven 118

CIO Business Intelligence

APRIL 4, 2024

The project, which is still in what Redmond calls the “value proposition stage,” has already generated positive results for the company’s electrical business. “On-time Webster Bank is following a similar strategy. Data is the lynchpin to AI success,” says Nafde. Align your AI strategy with your business strategy.

Enterprise 134

Enterprise Cost-Benefit Forecasting Strategy 134

CIO Business Intelligence

OCTOBER 20, 2023

When IT leaders gather next month at FutureIT New York, the conversation will center around AI and other emerging technologies, data strategies, and practical use cases – all with an eye toward using IT to create business value. Here are three questions we’re excited to explore at FutureIT New York: 1.

Data Strategy 133

Data Strategy Strategy Technology IT 133

CIO Business Intelligence

NOVEMBER 28, 2023

This means excelling in the under-the-radar disciplines of data architecture and data governance. Emotionally, culturally, and psychologically data management has to be rebranded — in the words of Sumathi Thiyagarajan , VP of business strategy and analytics for the Milwaukee Bucks — as “joyous” work.

Management 131

Management Data Architecture Data Lake Data Strategy 131

TDAN

MAY 3, 2022

This column focuses on challenges of edge computing and explore strategy considerations for implementing and utilizing edge computing in the organization.

Strategy 52

Strategy Cost-Benefit Management Data Architecture 52

CIO Business Intelligence

MAY 2, 2023

Despite the best of intentions, CIOs and their organizations often struggle to deliver business outcomes from digital transformation strategies. And while KPMG reports that 72% of CEOs have aggressive digital investment strategies, McKinsey details a harsh reality that 70% of transformations fail.

Digital Transformation 141

Digital Transformation IT Data-driven Metrics 141

TDAN

APRIL 5, 2022

Regardless of how accurate a data system is, it yields poor results if the quality of data is bad. As part of their data strategy, a number of companies have begun to deploy machine learning solutions. In a recent study, AI and machine learning were named as the top data priorities for 2021, by 61% […].

Machine Learning 98

Machine Learning Data Quality Data Strategy Strategy 98

CIO Business Intelligence

APRIL 13, 2023

Only a third of companies are currently seeing social impact as a core strategy, despite many being active in social responsibility. By developing inclusive product and experience strategies that are tailored to each user’s needs and abilities, organizations can ensure that all stakeholders receive the maximum value.”

Enterprise 98

Enterprise Data Strategy Strategy Data Processing 98

CIO Business Intelligence

JUNE 30, 2023

To win the game, you need a modern, future-proof business plan. And we’ll let you in on a secret: this means nailing your data strategy. All of this renewed attention on data and AI, however, brings greater potential risks for those companies that have less advanced data strategies.

Internet of Things 104

Internet of Things Strategy Risk Data Strategy 104

TDAN

MARCH 2, 2021

It’s estimated that individuals in the US are exposed to between 4000 and 10,000 advertisements per day. Despite all that input, people generally retain only a maximum of 3 messages. If you’re a marketer, you know how challenging it is to craft the perfect message for your audience – ensuring it is both authentic and personalized.

Marketing 105

Marketing Strategy Advertising IT 105

CIO Business Intelligence

AUGUST 2, 2023

A data and analytics capability cannot emerge from an IT or business strategy alone. With both technology and business organization deeply involved in the what, why, and how of data, companies need to create cross-functional data teams to get the most out of it. That strategy is doomed to fail.

Manufacturing 98

Manufacturing Data Architecture Strategy Data Strategy 98