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

CIO Business Intelligence

MARCH 7, 2023

Some IT organizations elected to lift and shift apps to the cloud and get out of the data center faster, hoping that a second phase of funding for modernization would come. A force-multiplying approach would consider several objectives and recognize that a speedy cloud transition may cause a longer, more expensive transformation.

Digital Transformation 145

Digital Transformation Data Governance Machine Learning Experimentation 145

CIO Business Intelligence

NOVEMBER 2, 2023

But the enthusiasm must be tempered by the need to put data management and data governance in place. The Salesforce report found that 87% of technical leaders say that advances in AI make data management a higher priority and 92% say that trustworthy data is needed more than ever before.

Data Strategy 137

Data Strategy Strategy Sales Data Governance 137

Alation

MAY 12, 2022

technologies, manufacturers must deploy the right technologies and, most importantly, leverage the resulting data to make better, faster decisions. But without the right data practices in place you run the risk of misusing data and missing opportunities. What are the benefits of data governance in manufacturing?

Manufacturing 52

Manufacturing Data Governance Cost-Benefit IoT 52

Alation

DECEMBER 15, 2021

Yet high-volume collection makes keeping that foundation sound a challenge, as the amount of data collected by businesses is greater than ever before. An effective data governance strategy is critical for unlocking the full benefits of this information. Data governance requires a system.

Data Governance 52

Data Governance Strategy Metadata Data Strategy 52

BI-Survey

MARCH 19, 2025

You need tools that provide comprehensive oversight of your AI systems, from cataloging the unstructured data feeding your models to assessing the risks associated with AI-driven decisions. A financial institution navigating regulatory compliance needs a different support structure than a tech company building a data marketplace.

Metadata 52

Metadata Data-driven Unstructured Data Data Governance 52

Alation

NOVEMBER 23, 2021

The same could be said about data governance : ask ten experts to define the term, and you’ll get eleven definitions and perhaps twelve frameworks. However it’s defined, data governance is among the hottest topics in data management. This is the final post in a four-part series discussing data culture.

Data Governance 52

Data Governance Data-driven Data Processing Consulting 52

CIO Business Intelligence

AUGUST 20, 2024

We’re now entering a new gen AI era, which is already impacting how we staff teams, their business objectives, and the tools they use to deliver innovations. CIOs have a new opportunity to communicate a gen AI vision for using copilots and improve their collaborative cultures to help accelerate AI adoption while avoiding risks.

IT 141

IT Digital Transformation Experimentation Risk 141

CIO Business Intelligence

FEBRUARY 7, 2024

With more APIs, additional effort is required to maintain design consistency and reduce scalability and end-user experience concerns — not to mention the added security risks stemming from a widened surface area. “It Besides technical considerations, however, there are unique business implications to consider, adds Bizagi’s Vázquez. “We

Business Objectives 124

Business Objectives Cost-Benefit Strategy Data-driven 124

Jen Stirrup

OCTOBER 28, 2019

They also need to consider their ROI over their data; their Risk of Incarceration (thank you to Karen Lopez for that one!). It is part of a wider strategy known as data governance. What is data governance, anyway? Even the blockchain is data. People need to be educated about ownership of data.

IT 85

IT Business Intelligence Data Governance Data Science 85

CIO Business Intelligence

DECEMBER 22, 2023

These IT pros can also help organizations avoid potential risks around cloud security, while ensuring a smooth transition to the cloud across the company. Role growth: 18% of businesses have added data architect roles as part of their cloud investments.

Consulting 130

Consulting Business Objectives Software Optimization 130

datapine

FEBRUARY 22, 2022

Improved risk management: Another great benefit from implementing a strategy for BI is risk management. While privacy and security are tight to each other, there are other ways in which data can be misused and you need to make sure you are carefully considering this when building your strategies. Pursue a phased approach.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Dashboards 218

IBM Big Data Hub

DECEMBER 14, 2023

To combat these ever-growing risks, the concept of cyber resiliency has gained significant importance. Our approach to cyber resiliency Risk assessment and strategy : IBM emphasizes the importance of conducting a thorough risk assessment to identify vulnerabilities and potential threats.

Risk 78

Risk Measurement Business Objectives Optimization 78

Cloudera

JULY 29, 2022

As my colleague Wim Stoop previously shared, “A well-planned enterprise data strategy helps companies get the most of their data, making it known, discoverable, available, trusted, and compliant. In an industry that is subject to stringent regulatory requirements, it is critical to use data to accurately scale up risk management.

Data Architecture 89

Data Architecture Data Strategy Risk Management Strategy 89

IBM Big Data Hub

JUNE 30, 2022

The rise of data strategy. There’s a renewed interest in reflecting on what can and should be done with data, how to accomplish those goals and how to check for data strategy alignment with business objectives. 5 recommendations for a data strategy in the new multi-everything landscape.

Data Strategy 56

Data Strategy Strategy Business Objectives Data-driven 56

Cloudera

JANUARY 27, 2022

Real-time access to phone location data can be used by travel insurers to create products that only become active when the phone (and hopefully the human attached to it) crosses country borders or travels beyond a specific distance. Data Ecosystems Surrounding Insurance. Putting Data to New Use . Always Mindful of Privacy.

Insurance 85

Insurance IoT Risk Data Processing 85

AWS Big Data

JUNE 25, 2024

Cost-effective: Reduces data transfer pipeline and storage costs associated with traditional data integration methods. Enhanced security: Data remains in its original secure environment, reducing exposure risks. Streamlined compliance: Simplifies data governance by maintaining data in its original, regulated environment.

Data Lake 111

Data Lake Cost-Benefit Data-driven Data Warehouse 111

Alation

FEBRUARY 10, 2022

Data classification is necessary for leveraging data effectively and efficiently. Effective data classification helps mitigate risk, maintain governance and compliance, improve efficiencies, and help businesses understand and better use data. Mitigate Security Risk. Define Business Objectives.

Data Governance 52

Data Governance Risk Insurance Business Objectives 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. Define clear objectives What problems does the organization need to solve? What metrics need to be improved?

Strategy 71

Strategy Business Objectives Cost-Benefit Consulting 71

CIO Business Intelligence

MAY 30, 2024

It’s crucial to design a sustainable architecture with the end goal in mind, ensuring scalability aligns with business objectives. Leaders should view data quality as a strategic asset. High-quality data ensures algorithms are trained effectively, leading to more accurate and reliable AI applications.

Data Quality 104

Data Quality Key Performance Indicator Digital Transformation Management 104

Ontotext

SEPTEMBER 1, 2023

LLMs can even take tone and style into account where responses can be modified by incorporating personas such as asking ChatGPT (powered by an LLM) to explain the concept of data governance through a Taylor Swift style lyric. For example, if input training data is of bad quality, the results from AI algorithms will be substandard too.

Risk 52

Risk Modeling Data Quality Data Governance 52

Alation

AUGUST 26, 2021

It asks much larger questions, which flesh out an organization’s relationship with data: Why do we have data? Why keep data at all? Answering these questions can improve operational efficiencies and inform a number of data intelligence use cases, which include data governance, self-service analytics, and more.

Metadata 64

Metadata Data Governance Dashboards Software 64

CIO Business Intelligence

SEPTEMBER 20, 2023

We internally analyzed the improvements we had to provide and, together with the CIOs in all the countries where Mapfre operates, we defined a very solid strategy that aligns with the business objectives, and we’re implementing that now. This change in platform also entails a data governance model and operational changes.

Modeling 98

Modeling Insurance IT Cost-Benefit 98

IBM Big Data Hub

OCTOBER 20, 2023

Gaining an understanding of available AI tools and their capabilities can assist you in making informed decisions when selecting a platform that aligns with your business objectives. These factors are also important in identifying the AI platform that can be most effectively integrated to align with your business objectives.

Machine Learning 71

Machine Learning Manufacturing Deep Learning Cost-Benefit 71

FineReport

APRIL 9, 2024

Moreover, BI platforms provide the means for organizations to harness their data assets effectively, leading to improved customer satisfaction through personalized services and targeted marketing initiatives. This framework ensures that data remains accurate, consistent, and secure across all levels of the organization.

Business Intelligence 52

Business Intelligence Software Data-driven Predictive Modeling 52

AWS Big Data

MARCH 26, 2024

In this post, we discuss how you can use purpose-built AWS services to create an end-to-end data strategy for C360 to unify and govern customer data that address these challenges. Enrichment typically involves adding demographic, behavioral, and geolocation data.

Data Strategy 78

Data Strategy Strategy Data Warehouse Prescriptive Analytics 78

Alation

NOVEMBER 17, 2022

Becoming data-driven requires that people understand what data-driven means, and that the right people are in place to govern, maintain, and analyse the data. So, let’s start at the beginning of this journey and establish step by step what it means to be truly data-driven. First, what are your business objectives?

Data-driven 52

Data-driven Cost-Benefit Business Objectives Technology 52

Alation

MAY 23, 2023

For leaders tasked with rolling out a new data governance program, getting started can feel like a daunting task. For one financial services organization, getting started took identifying key capabilities of their future data platform, tying those capabilities to business value, and working closely with the implementation team.

Business Objectives 52

Business Objectives Enterprise Data Governance Sales 52

Alation

MARCH 14, 2023

It should make data available, maintain data consistency and accuracy, and support data security. Gartner describes it as ‘ a highly dynamic process employed to support the acquisition, organisation, analysis, and delivery of data in support of business objectives ’. Why is a data strategy important?

Data Strategy 52

Data Strategy Strategy Metadata Data Quality 52

AWS Big Data

AUGUST 5, 2024

Customers often face challenges in locating and accessing the fragmented data they need, expending time and resources in the process. This reduces the time and effort required to find all relevant information and lowers the risk of missing important data.

Metadata 59

Metadata Sales Data Lake Publishing 59

O'Reilly on Data

JULY 28, 2020

This isn’t always simple, since it doesn’t just take into account technical risk; it also has to account for social risk and reputational damage. Put simply, no AI product will be successful if it never launches, and no AI product will launch unless the project is sponsored, funded, and connected to important business objectives.

Marketing 364

Marketing Experimentation Metrics Testing 364

CIO Business Intelligence

OCTOBER 2, 2024

An AI policy serves as a framework to ensure that AI systems align with ethical standards, legal requirements and business objectives. While this leads to efficiency, it also raises questions about transparency and data usage. Data governance Strong data governance is the foundation of any successful AI strategy.

Gap analysis 119

Gap analysis Risk Manufacturing Data Governance 119

CIO Business Intelligence

OCTOBER 24, 2023

Alternatively, they can accelerate transformation by prioritizing force-multiplying initiatives such as aligning data science and data governance programs or improving IT operations with AIops capabilities. Still, certain issues surface time and time again to trouble business outcomes regardless of the strategic objectives.

Digital Transformation 145

Digital Transformation Data-driven Business Objectives Strategy 145

CIO Business Intelligence

NOVEMBER 19, 2024

When business leaders have confidence in IT, everything moves faster. Decision-making is crisper, risk-taking is increased and teams spend more time executing than planning.” After setting the aligned, shared objectives, continually measure performance against those objectives and adjust objectives as business conditions change.”

IT 142

IT Strategy Business Objectives Consulting 142

CIO Business Intelligence

MARCH 17, 2025

AI must integrate seamlessly into workflows, align with employee responsibilities, and be supported by clear governance. Without buy-in, AI risks being underutilized or outright rejected, rendering investments ineffective. Data governance can be as tricky as it is vital, with lots of pitfalls to avoid.

Measurement 129

Measurement Strategy Risk ROI 129

DataKitchen

NOVEMBER 27, 2024

Without contextual specificity, these dimensions risk becoming check-the-box exercises rather than actionable frameworks that help organizations identify and address the root causes of data quality issues. The DAMA Data Quality Dimension dashboards are crap.

Data Quality 215

Data Quality Dashboards Metrics Cost-Benefit 215

CIO Business Intelligence

APRIL 1, 2025

Kapil Madaan, CISO and DPO, Max Healthcare says, A comprehensive Data Protection Framework ensures resilience against breaches by integrating encryption, strict access controls, and advanced threat detection technologies. In (clean) data we trust While data is invaluable, all data is not created equal.

Data-driven 59

Data-driven Data Quality Data Governance Business Objectives 59