CIO Business Intelligence

JUNE 9, 2023

Such is the case with a data management strategy. That gap is becoming increasingly apparent because of artificial intelligence’s (AI) dependence on effective data management. A few years ago, Gartner found that “organizations estimate the average cost of poor data quality at $12.8 The second best time is now.”

Strategy 116

Strategy Management Key Performance Indicator Cost-Benefit 116

Smart Data Collective

FEBRUARY 23, 2021

To help you identify and resolve these mistakes, we’ve put together this guide on the various big data mistakes that marketers tend to make. Big Data Mistakes You Must Avoid. Here are some common big data mistakes you must avoid to ensure that your campaigns aren’t affected. Ignoring Data Quality. Final Thoughts.

Big Data 142

Big Data Visualization Data Quality Data-driven 142

IBM Big Data Hub

APRIL 10, 2023

A well-designed data architecture should support business intelligence and analysis, automation, and AI—all of which can help organizations to quickly seize market opportunities, build customer value, drive major efficiencies, and respond to risks such as supply chain disruptions.

Strategy 85

Strategy Data Architecture Cost-Benefit Reporting 85

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 100

Data Strategy Strategy Data Warehouse Prescriptive Analytics 100

CIO Business Intelligence

MARCH 24, 2023

Data governance framework Data governance may best be thought of as a function that supports an organization’s overarching data management strategy. Such a framework provides your organization with a holistic approach to collecting, managing, securing, and storing data.

Data Governance 142

Data Governance Management Metadata Data Quality 142

Cloudera

OCTOBER 1, 2022

Adam Wood, director of data governance and data quality at a financial services institution (FSI). As countries introduce privacy laws, similar to the European Union’s General Data Protection Regulation (GDPR), the way organizations obtain, store, and use data will be under increasing legal scrutiny.

Data Governance 75

Data Governance Strategy Enterprise Machine Learning 75

erwin

JULY 12, 2019

So it’s important to understand how to use strategic data governance to manage the complexity of regulatory compliance and other business objectives … Designing and Operationalizing Regulatory Compliance Strategy.

Data Governance 110

Data Governance Management Metadata Risk Management 110

CIO Business Intelligence

NOVEMBER 29, 2022

Increasing ROI for the business requires a strategic understanding of — and the ability to clearly identify — where and how organizations win with data. It’s the only way to drive a strategy to execute at a high level, with speed and scale, and spread that success to other parts of the organization. Data and cloud strategy must align.

Data Architecture 111

Data Architecture Data Integration IoT Data-driven 111

CIO Business Intelligence

MARCH 9, 2022

They conveniently store data in a flat architecture that can be queried in aggregate and offer the speed and lower cost required for big data analytics. On the other hand, they don’t support transactions or enforce data quality. Each ETL step risks introducing failures or bugs that reduce data quality. .

Data Lake 119

Data Lake Unstructured Data Data Warehouse Big Data 119

AWS Big Data

AUGUST 1, 2024

Migrating to Amazon Redshift offers organizations the potential for improved price-performance, enhanced data processing, faster query response times, and better integration with technologies such as machine learning (ML) and artificial intelligence (AI). For more details, see Strangler Fig Application.

Data Warehouse 115

Data Warehouse KPI Optimization Cost-Benefit 115

erwin

OCTOBER 24, 2019

The complexities of metadata management can be addressed with a strong data management strategy coupled with metadata management software to enable the data quality the business requires. Organizations then can take a data-driven approach to business transformation , speed to insights, and risk management.

Metadata 104

Metadata Management Data-driven Data Architecture 104

Cloudera

MAY 14, 2024

More than that, though, harnessing the potential of these technologies requires quality data—without it, the output from an AI implementation can end up inefficient or wholly inaccurate. Meaningful results, and a scalable, flexible data architecture demand a ‘true’ hybrid cloud approach to data management.

Data Architecture 99

Data Architecture Data Governance Unstructured Data Structured Data 99

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. The evolution of a multi-everything landscape, and what that means for data strategy.

Data Strategy 56

Data Strategy Strategy Business Objectives Data-driven 56

CIO Business Intelligence

APRIL 29, 2022

The data-first transformation journey can appear to be a lengthy one, but it’s possible to break it down into steps that are easier to digest and can help speed you along the pathway to achieving a modern, data-first organization. Key features of data-first leaders. 5x more likely to be highly resilient in terms of data loss.

Digital Transformation 132

Digital Transformation Strategy Data-driven Data Strategy 132

CIO Business Intelligence

JULY 28, 2023

In a recent IDC Infobrief , more than half of respondents report that regulatory compliance is a primary factor in deciding how and where they store enterprise data. 1 A clear picture of where data lives and how it moves enables enterprises to consistently protect this data and its privacy.

Risk 98

Risk Management Data mining Cost-Benefit 98

erwin

SEPTEMBER 17, 2020

Here are six benefits of automating end-to-end data lineage: Reduced Errors and Operational Costs. Data quality is crucial to every organization. Automated data capture can significantly reduce errors when compared to manual entry. However, different types of data need to be treated differently.

Cost-Benefit 143

Cost-Benefit Data Governance Metadata Reporting 143

TDAN

JUNE 18, 2019

The first step to fixing any problem is to understand that problem—this is a significant point of failure when it comes to data. Most organizations agree that they have data issues, categorized as data quality. However, this definition is […].

Data Quality 90

Data Quality Data Architecture IT Data Governance 90

Cloudera

JUNE 13, 2024

That investment and support have resulted in the first true hybrid platform for data, analytics, and AI, backed by a seasoned and proven leadership team, with a go-to-market strategy focused on ensuring our customers’ success in the future of Enterprise AI.

Big Data 103

Big Data Machine Learning Contextual Data Data Lake 103

TDAN

APRIL 16, 2019

The phrase “data architecture” often has different connotations across an organization depending on where their job role is. For instance, most of my earlier career roles were within IT, though throughout the last decade or so, has been primarily working with business line staff.

Data Architecture 40

Data Architecture IT Data Quality Data Governance 40

CIO Business Intelligence

AUGUST 9, 2022

Data engineers are often responsible for building algorithms for accessing raw data, but to do this, they need to understand a company’s or client’s objectives, as aligning data strategies with business goals is important, especially when large and complex datasets and databases are involved.

Analytics 131

Analytics Data Science Statistics Unstructured Data 131

AWS Big Data

APRIL 19, 2023

The goal of a data product is to solve the long-standing issue of data silos and data quality. Independent data products often only have value if you can connect them, join them, and correlate them to create a higher order data product that creates additional insights.

Technology 105

Technology Data-driven Machine Learning Sales 105

erwin

DECEMBER 12, 2019

Managing metadata should not be a sub-goal of data governance. Today, metadata is the heart of enterprise data management and governance/ intelligence efforts and should have a clear strategy – rather than just something you do. Quite simply, metadata is data about data. What Is Metadata? by up to 70 percent.

Metadata 84

Metadata Data Governance Digital Transformation Data Quality 84

IBM Big Data Hub

FEBRUARY 9, 2023

Realize that a data governance program cannot exist on its own – it must solve business problems and deliver outcomes. Start by identifying business objectives, desired outcomes, key stakeholders, and the data needed to deliver these objectives. Don’t try to do everything at once!

Data Governance 76

Data Governance Business Objectives Data Quality Measurement 76

CIO Business Intelligence

APRIL 24, 2024

Another element of the digital strategy is a more significant use of BI to analyze and visualize data. Roero is also considering introducing AI to make processes more fluid and controlled, and the company data-driven. “So we’re committed to completing the digitization of workflows in order to make a real leap in efficiency.

Digital Transformation 105

Digital Transformation Business Intelligence Unstructured Data Data Lake 105

erwin

SEPTEMBER 19, 2019

For years, data governance was the volleyball passed back and forth over the net between IT and the business, with neither side truly owning it. Providing a platform for understanding and governing trusted data assets. Delivering the greatest benefit from data wherever it lives, while minimizing risk.

Data Governance 108

Data Governance Cost-Benefit Enterprise Modeling 108

AWS Big Data

JULY 20, 2023

With data becoming the driving force behind many industries today, having a modern data architecture is pivotal for organizations to be successful. Prior to the creation of the data lake, Orca’s data was distributed among various data silos, each owned by a different team with its own data pipelines and technology stack.

Data Lake 98

Data Lake Analytics Snapshot Data Quality 98

Data Virtualization

MAY 19, 2023

Reading Time: 11 minutes The post Data Strategies for Getting Greater Business Value from Distributed Data appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information.

Data Strategy 52

Data Strategy Strategy Data Integration Management 52

Peter James Thomas

MAY 3, 2019

Control of Data to ensure it is Fit-for-Purpose. This refers to a wide range of activities from Data Governance to Data Management to Data Quality improvement and indeed related concepts such as Master Data Management. Data Architecture / Infrastructure. Data Strategy.

Strategy 55

Strategy Data Architecture Data Quality Data Strategy 55

Alation

MAY 31, 2023

This means that specialized roles such as data architects, which focus on modernizing data architecture to help meet business goals, are increasingly important to support data governance. What is a data architect? Their broad range of responsibilities include: Design and implement data architecture.

Data Governance 52

Data Governance Metadata Data Architecture Data Quality 52

IBM Big Data Hub

MAY 15, 2024

Organizations require reliable data for robust AI models and accurate insights, yet the current technology landscape presents unparalleled data quality challenges. Unified, governed data can also be put to use for various analytical, operational and decision-making purposes.

Cost-Benefit 67

Cost-Benefit Data Integration Data Architecture Manufacturing 67

erwin

SEPTEMBER 13, 2022

Come listen to data veterans in customer organizations as well as data best practices experts from IDC, Global Data Strategy, Ltd. Learn how to maximize the business impact of your data. The Real World Value of Data Intelligence – A Look Inside Data Management.

Data Governance 52

Data Governance Data-driven Data Architecture Data Quality 52

Octopai

APRIL 19, 2021

Strong metadata management enhances business intelligence which leads to more informed strategy and better performance. Donna Burbank is a Data Management Consultant and acts as the Managing Director at Global Data Strategy, Ltd. Top 10 sites, videos, or thought leaders that discuss metadata management in 2021.

Metadata 59

Metadata Management Business Intelligence Data Governance 59

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

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

CIO Business Intelligence

FEBRUARY 28, 2024

And not only do companies have to get all the basics in place to build for analytics and MLOps, but they also need to build new data structures and pipelines specifically for gen AI. But it all begins with data, and it’s an area where many companies lag behind. Then there’s the hard work of collecting and prepping data.

IT 131

IT Consulting Modeling Enterprise 131

bridgei2i

JUNE 23, 2021

These include:lack of understanding of the business-centric use cases of AI, IT gaps,lack of skilled employees, issues in data quality, and resistance to incorporate new technologies into the framework. An AI Consulting Company provides support to organizations to build the right data strategy for AI implementation.

Consulting 52

Consulting Key Performance Indicator Business Objectives Data Strategy 52

TDAN

MAY 17, 2022

One of the greatest contributions to the understanding of data quality and data quality management happened in the 1980s when Stuart Madnick and Rich Wang at MIT adapted the concept of Total Quality Management (TQM) from manufacturing to Information Systems reframing it as Total Data Quality Management (TDQM).

Data Quality 52

Data Quality Manufacturing Management IT 52