CIO Business Intelligence

APRIL 8, 2024

Working with partner Amazon Web Services (AWS), the NFL has developed Digital Athlete, a platform that uses computer vision and ML to predict which players are at the highest risk of injury based on plays and their body positions. The first thing is having a data strategy, having a foundation of data, and then asking questions of it.”

Analytics 105

Analytics Broadcasting Predictive Analytics Metrics 105

CIO Business Intelligence

MARCH 27, 2023

They’re spending a lot of time on things like data quality, data management, things that might be tactical, helping with operational aspects of IT. The composer creates and sells the storyline of the value of data and analytics. To get there, though, Medeiros says CDAOs must prioritize strategy over tactics.

Data-driven 145

Data-driven Data Quality Strategy Reporting 145

CIO Business Intelligence

JUNE 30, 2023

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. But it all depends upon a solid, trusted data foundation.

Internet of Things 89

Internet of Things Strategy Data Strategy Risk 89

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.

Insurance 92

Insurance Strategy Data Governance Data Integration 92

Alation

OCTOBER 5, 2021

Yet, so many companies today are still failing miserably in implementing data strategy and governance protocols. Why is your data governance strategy failing? So, why is YOUR data governance strategy failing? Common data governance challenges. Top 3 Roadblocks to Successful Data Governance.

Data Governance 96

Data Governance Strategy Data Quality Metrics 96

Smart Data Collective

DECEMBER 21, 2022

This market is growing as more businesses discover the benefits of investing in big data to grow their businesses. Unfortunately, some business analytics strategies are poorly conceptualized. One of the biggest issues pertains to data quality. Data cleansing and its purpose.

Business Analytics 109

Business Analytics Analytics Data Quality Big Data 109

Alation

JULY 15, 2022

I recently led an online session, Data Monetisation and Governance , looking at the evolution of data governance , defining data ethics (from the Turing Institute ), and touching on the balancing act between using data to monetise (by increasing revenue, decreasing spend, or mitigating risk) and meeting ethical obligations.

Cost-Benefit 89

Cost-Benefit Data Governance ROI Risk 89

AWS Big Data

FEBRUARY 29, 2024

Data is your generative AI differentiator, and a successful generative AI implementation depends on a robust data strategy incorporating a comprehensive data governance approach. Implement data privacy policies. Implement data quality by data type and source.

Data Governance 95

Data Governance Unstructured Data Metadata Data Lake 95

Ontotext

SEPTEMBER 1, 2023

They run the risk of using trademarked, copyrighted, or protected data as they scour public data and can be easily exploited and manipulated to ignore previous instructions. Additionally, data is the fulcrum of AI, and the data used to train LLMs must be properly governed and controlled.

Risk 52

Risk Modeling Data Quality Data Governance 52

Anmut

APRIL 6, 2023

By regularly conducting data maturity assessments, you can catch potential issues early and make proactive changes to supercharge your business’s success. Improved data quality By assessing the organisation’s data quality management practices, the assessment can identify areas where data quality can be improved.

Cost-Benefit 52

Cost-Benefit Data Quality Data Governance Measurement 52

Anmut

MARCH 22, 2023

Anmut’s own clients estimate that poor data quality and availability causes at least 16% additional cost per year. Worse still, these organisations’ competitors are actually pouring twice as many resources into creating value from their data assets, giving them a massive advantage.

Measurement 52

Measurement Modeling Data Quality Data Governance 52

IBM Big Data Hub

JUNE 8, 2022

Implementing the right data strategy spurs innovation and outstanding business outcomes by recognizing data as a critical asset that provides insights for better and more informed decision-making. Here are a few common data management challenges: Regulatory compliance on data use. Data quality.

Data-driven 56

Data-driven Enterprise Data Governance Data Lake 56

erwin

SEPTEMBER 13, 2022

Speakers will cover data intelligence and governance on the first day of the summit. Day one will feature presentations from industry experts and experienced data professionals on the initiatives and tactical measures being taken by data-driven enterprises to reap the benefits of data intelligence and governance.

Data Governance 52

Data Governance Data-driven Data Architecture Data Quality 52

CIO Business Intelligence

APRIL 4, 2024

This involves rigorous evaluation of potential benefits, risks, and costs associated with each AI initiative to ensure investments are prudent and aligned with our risk-return profile.” Webster Bank is following a similar strategy. Data is the lynchpin to AI success,” says Nafde. Diasio agrees.

Enterprise 133

Enterprise Cost-Benefit Forecasting Sales 133

Smart Data Collective

AUGUST 21, 2019

Endor is a leading pioneer in data science. Instead of focusing on solely collecting data for their customers, Endor has continually helped users extract more value from datasets. Companies like Endor understand the risks and develop data science models that account for them. This can lead to a number of problems.

Data Science 67

Data Science Big Data Data Strategy Risk 67

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. Prioritize your investments.

Digital Transformation 123

Digital Transformation Strategy Data-driven Data Strategy 123

CIO Business Intelligence

MAY 24, 2023

Hanna Hennig, CIO of Siemens, says she has seen business units start collecting data without knowing what to collect and why. “It If you don’t know what problem you want to solve, then you cannot define your data strategy.” Poor data quality leads to poor decisions and recommendations.

Data Governance 105

Data Governance Data Quality Data Collection Manufacturing 105

CIO Business Intelligence

NOVEMBER 2, 2023

Rapid advancements in artificial intelligence (AI), particularly generative AI are putting more pressure on analytics and IT leaders to get their houses in order when it comes to data strategy and data management. If you go out and ask a chief data officer, a head of IT, ‘Is your data strategy aligned?’,

Data Strategy 133

Data Strategy Strategy Sales Data Governance 133

Ontotext

MARCH 8, 2023

Use Case #4: Financial Risk Detection and Prediction The financial industry is made up of a network of markets and transactions. A risk issue in one financial institution could result in a domino effect for many. Which financial institutions have filed similar risk compliance issues?

Enterprise 52

Enterprise Knowledge Discovery Risk Data-driven 52

datapine

JANUARY 24, 2021

This can include a multitude of processes, like data profiling, data quality management, or data cleaning, but we will focus on tips and questions to ask when analyzing data to gain the most cost-effective solution for an effective business strategy. 4) How can you ensure data quality?

IT 317

IT Statistics KPI Data-driven 317

Cloudera

MAY 28, 2019

What emerges is the criticality of a data strategy and core data management competency, including both data and model management, to support enterprise ML initiatives. Cloudera customers can start building enterprise AI on their data management competencies today with the Cloudera Data Science Workbench (CDSW).

Data Science 50

Data Science Machine Learning Data Strategy Cost-Benefit 50

IBM Big Data Hub

JANUARY 25, 2023

A need to ensure data privacy and data security Data privacy and data security are major challenges when it comes to managing the increasing volume, usage, and complexity of new data. Organizations need to ensure that their enterprise data governance practices are compliant.

Data Governance 52

Data Governance Data-driven Strategy Management 52

Ontotext

MAY 2, 2024

They are expected to understand the entire data landscape and generate business-moving insights while facing the voracious needs of different teams and the constraints of technology architecture and compliance. Evolution of data approaches The data strategies we’ve had so far have led to a lot of challenges and pain points.

Metadata 52

Metadata Data Lake Data-driven Enterprise 52

IBM Big Data Hub

DECEMBER 20, 2023

Without an AI strategy, organizations risk missing out on the benefits AI can offer. An AI strategy helps organizations address the complex challenges associated with AI implementation and define its objectives. Establish a data governance framework to manage data effectively.

Strategy 72

Strategy Business Objectives Cost-Benefit Consulting 72

Smart Data Collective

JANUARY 9, 2023

Unfortunately, this is often easier said than done, and organizations often have to make assumptions and risk having an unsuccessful marketing campaign. As any business owner or organizational leader understands, effective marketing is a key facet of any successful organization.

Machine Learning 125

Machine Learning Software Strategy Marketing 125

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 69

Data Strategy Strategy Data Warehouse Prescriptive Analytics 69

AWS Big Data

JANUARY 31, 2023

Data governance is increasingly top-of-mind for customers as they recognize data as one of their most important assets. Effective data governance enables better decision-making by improving data quality, reducing data management costs, and ensuring secure access to data for stakeholders.

Data Lake 83

Data Lake Data Governance Data Architecture Data Warehouse 83

BizAcuity

APRIL 14, 2022

Big Data technology in today’s world. Did you know that the big data and business analytics market is valued at $198.08 Or that the US economy loses up to $3 trillion per year due to poor data quality? quintillion bytes of data which means an average person generates over 1.5 megabytes of data every second?

Big Data 52

Big Data Data Analytics Management Unstructured Data 52

TDAN

JUNE 2, 2020

As I am writing this, countries around the world are fighting a global pandemic. This is the first global pandemic of the modern information age. There have been a number of epidemics in recent years, such as Ebola, but they (thankfully) have been regional in nature. This time around, we have the power of AI, […].

Risk Management 85

Risk Management Data Quality Risk Data Strategy 85

Cloudera

MARCH 14, 2023

Data leaders will be able to simplify and accelerate the development and deployment of data pipelines, saving time and money by enabling true self service. It is no secret that data leaders are under immense pressure. Data quality issue? Security breach?

Cost-Benefit 80

Cost-Benefit Data-driven Risk Data Governance 80

IBM Big Data Hub

MAY 15, 2024

Business leaders risk compromising their competitive edge if they do not proactively implement generative AI (gen AI). Organizations require reliable data for robust AI models and accurate insights, yet the current technology landscape presents unparalleled data quality challenges.

Cost-Benefit 68

Cost-Benefit Data Integration Data Architecture Manufacturing 68

Alation

MAY 31, 2023

Ensure data security and compliance. Define data requirements and policies. Select and implement data tools and technologies. Collaborate on data strategy with business and IT leaders. Identify and address data issues. Lead or contribute to data-related projects and initiatives.

Data Governance 52

Data Governance Metadata Data Architecture Data Quality 52

Alation

MARCH 28, 2023

With data becoming more prevalent in every industry, organisations have to determine how to not only manage it but also drive value from it. The MoD identify three key issues: firstly, that ‘Defence data operates in contractual, technical and behavioural silos’. The defence industry is no exception.

Metadata 52

Metadata Data Strategy Data Quality Strategy 52

Anmut

APRIL 6, 2021

Another survey from Experian found 68% of businesses are impacted by poor data quality during these transformation initiatives, where duplicate data and mismanagement are key challenges. According to Gartner , “the average financial impact of poor data quality on organisations is $9.7 Why data assets matter .

Digital Transformation 52

Digital Transformation Enterprise Data Quality Data-driven 52

BI-Survey

FEBRUARY 17, 2020

Data and data management processes are everywhere in the organization so there is a growing need for a comprehensive view of business objects and data. It is therefore vital that data is subject to some form of overarching control, which should be guided by a data strategy.

Data Governance 89

Data Governance Data Warehouse Data Quality Data Strategy 89

Alation

MARCH 21, 2023

Data security The travel industry collects, transmits, processes, and stores a wide range of personally identifiable information (PII) from customers, which are of interest to bad actors, as cybercriminals target this valuable data. Otherwise, they risk a data privacy violation. Curious to see Alation in action?

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

IBM Big Data Hub

MARCH 14, 2024

Businesses face significant hurdles when preparing data for artificial intelligence (AI) applications. The existence of data silos and duplication, alongside apprehensions regarding data quality, presents a multifaceted environment for organizations to manage.

Cost-Benefit 76

Cost-Benefit Metadata Optimization Management 76