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. What percentage of our portfolio is delivered in a SaaS model for annuity revenues?

Measurement 119

Measurement Digital Transformation Strategy Software 119

Smart Data Collective

APRIL 3, 2022

More companies than ever are investing in big data. However, many feel that their data strategies are not proving to be effective. According to a report by VentureBeat, only 13% of companies feel that their data strategies are providing the results they are looking for. Keep It Short and Simple.

Data Strategy 111

Data Strategy Strategy Data-driven Big Data 111

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

CIO Business Intelligence

NOVEMBER 27, 2024

The analytics that drive AI and machine learning can quickly become compliance liabilities if security, governance, metadata management, and automation aren’t applied cohesively across every stage of the data lifecycle and across all environments.

Data Governance 132

Data Governance Risk Insurance Metadata 132

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 Experiment to guide a winning data strategy. You’ve immediately created an experiment to win.

Data Strategy 81

Data Strategy Strategy Digital Transformation Data Warehouse 81

Data Science 101

NOVEMBER 20, 2019

When you deal with big data projects, it is common that a large amount of the data is generated from variant sources in different formats which makes it difficult to derive a single source of the data. With consistent data entry, it is much easier to mine the data and help in making better decisions. Author Bio.

Big Data 103

Big Data Data Strategy Strategy Cost-Benefit 103

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 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. The first step is to put in place a robust data strategy.

Data Strategy 98

Data Strategy Strategy IT Consulting 98

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

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

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

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

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.

Cost-Benefit 142

Cost-Benefit Data-driven Strategy Marketing 142

Rocket-Powered Data Science

MARCH 19, 2021

Focus on the strategies that aim these tools, talents, and technologies on reaching business mission and goals: e.g., data strategy, analytics strategy, observability strategy ( i.e., why and where are we deploying the data-streaming sensors, and what outcomes should they achieve?).

Internet of Things 259

Internet of Things Analytics IoT Prescriptive Analytics 259

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

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

datapine

JANUARY 24, 2021

The questions to ask when analyzing data will be the framework, the lens, that allows you to focus on specific aspects of your business reality. Once you have your data analytics questions, you need to have some standard KPIs that you can use to measure them. As Data Dan reminded us, “did the best” is too vague to be useful.

IT 317

IT Statistics KPI Data-driven 317

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. Of course, the findings need to add value, but how do we measure this success?

Data Science 145

Data Science Digital Transformation Data-driven Measurement 145

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

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

TDAN

MAY 16, 2023

For data managers, the struggle is especially familiar. The difficulty is convincing decision makers to invest in data when measures of data’s value either do not exist or feel too ambiguous to estimate.

Measurement 59

Measurement ROI Digital Transformation Management 59

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

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 79

Data Strategy Strategy Data Warehouse Prescriptive Analytics 79

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

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

Anmut

MARCH 22, 2023

This ultimately allows for more effective goal-setting, with targets determined according to both your data maturity right now and the desired stage you want to attain in the future. Why do we need data maturity models? A data maturity model helps your company measure its data and business health.

Measurement 52

Measurement Modeling Data Quality Data Governance 52

TDAN

JANUARY 5, 2022

Introduction Privacy engineering, as a discrete discipline or field of inquiry and innovation, may be defined as using engineering principles and processes to build controls and measures into processes, systems, components, and products that enable the authorized, fair, and legitimate processing of personal information.

Measurement 145

Measurement IT Data Governance Data Strategy 145

CIO Business Intelligence

APRIL 8, 2025

From reactive fixes to embedded data quality Vipin Jain Breaking free from recurring data issues requires more than cleanup sprints it demands an enterprise-wide shift toward proactive, intentional design. Data quality must be embedded into how data is structured, governed, measured and operationalized.

Data Quality 59

Data Quality Data-driven Key Performance Indicator Metadata 59

Smart Data Collective

OCTOBER 4, 2023

Unfortunately, many are struggling to use data effectively. One study found that only 30% of companies have a well-articulated data strategy. Another survey showed only 13% of companies are meeting their data strategies’ goals. The good news is that data strategies can be more effective with the right tools.

Data-driven 125

Data-driven Advertising Data Collection Data Strategy 125

CIO Business Intelligence

NOVEMBER 28, 2023

In reality MDM ( master data management ) means Major Data Mess at most large firms, the end result of 20-plus years of throwing data into data warehouses and data lakes without a comprehensive data strategy. Contributing to the general lack of data about data is complexity.

Management 131

Management Data Architecture Data Lake Data Strategy 131

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

CIO Business Intelligence

APRIL 29, 2022

Data-first leaders are: 11x more likely to beat revenue goals by more than 10 percent. 5x more likely to be highly resilient in terms of data loss. 4x more likely to have high job satisfaction among both developers and data scientists. Create a CXO-driven data strategy.

Digital Transformation 132

Digital Transformation Data-driven Strategy Data Strategy 132

Smart Data Collective

JANUARY 27, 2022

More businesses than ever are transitioning to data-driven business models. Research has shown that companies with big data strategies are 19 times more likely to become profitable. Unfortunately, some businesses have made poor decisions when instituting a data strategy. In the world of IT, change is constant.

Optimization 124

Optimization IT Big Data Cost-Benefit 124

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

AWS Big Data

OCTOBER 29, 2024

While this approach succeeded in fulfilling access control requirements, it led to increased storage costs, higher compute expenses for data processing and drift detection, and project delays because of time-consuming provisioning processes and governance overhead. With Lake Formation, creating these duplicates is no longer necessary.

Data Lake 90

Data Lake Sales Metadata Machine Learning 90

Smart Data Collective

APRIL 20, 2021

As mentioned, only a fifth of the business executives surveyed considers their digital transformation strategies effective. The study reveals a number of reasons behind this reported ineffectiveness of big data strategies that don’t get utilized. This results in unsystematic or poorly organized efforts.

Big Data 125

Big Data Strategy Digital Transformation Metrics 125

CIO Business Intelligence

MARCH 31, 2022

Chief data officer job description. The CDO oversees a range of data-related functions that may include data management, ensuring data quality, and creating data strategy. They may also be responsible for data analytics and business intelligence — the process of drawing valuable insights from data.

Consulting 134

Consulting Data Strategy Data Governance Strategy 134