Alation

AUGUST 17, 2022

According to analysts, data governance programs have not shown a high success rate. According to CIOs , historical data governance programs were invasive and suffered from one of two defects: They were either forced on the rank and file — who grew to dislike IT as a result. The Risks of Early Data Governance Programs.

Data Governance 92

Data Governance Risk Data-driven Measurement 92

erwin

APRIL 16, 2021

Data governance is best defined as the strategic, ongoing and collaborative processes involved in managing data’s access, availability, usability, quality and security in line with established internal policies and relevant data regulations. Data Governance Is Business Transformation. Predictability.

Data Governance 128

Data Governance Metadata Cost-Benefit Digital Transformation 128

Alation

APRIL 25, 2023

That means if you haven’t already incorporated a plan for data governance into your long-term vision for your business, the time is now. Let’s take a closer look at what data governance is — and the top five mistakes to avoid when implementing it. 5 common data governance mistakes 1.

Data Governance 52

Data Governance Marketing Machine Learning Sales 52

TDAN

MAY 4, 2021

Since July 2018, over €274M in fines have been enforced by the EU General Data Protection Regulation.

Data Governance 105

Data Governance Strategy Measurement Data Processing 105

Alation

JANUARY 26, 2023

Data is a key asset for businesses in the modern world. Used correctly, it can improve internal operations, power marketing strategies, and much more. That’s why many organizations invest in technology to improve data processes, such as a machine learning data pipeline. Let’s look at five different ways.

Data Governance 52

Data Governance Strategy Data Quality Marketing 52

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

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

Alation

APRIL 25, 2023

That means if you haven’t already incorporated a plan for data governance into your long-term vision for your business, the time is now. Let’s take a closer look at what data governance is — and the top five mistakes to avoid when implementing it. 5 common data governance mistakes 1.

Data Governance 40

Data Governance Marketing Machine Learning Sales 40

Alation

SEPTEMBER 9, 2021

Internal and external auditors work with many different systems to ensure this data is protected accordingly. This is where data governance comes in: A robust program allows banks and financial institutions to use this data to build customer trust and still meet compliance mandates. What is Data Governance in Banking?

Data Governance 52

Data Governance Data Strategy Strategy Risk 52

Alation

SEPTEMBER 14, 2021

The importance of data governance is growing. Here at Alation, we’ve seen the demand for new robust governance capabilities skyrocket in the past year. Alation Data Governance App. The Data Governance App introduces a range of new capabilities to make governance more easy and effective.

Data Governance 52

Data Governance Dashboards Measurement Machine Learning 52

IBM Big Data Hub

APRIL 10, 2023

To further the above, organizations should have the right foundation that consists of a modern data governance approach and data architecture. It’s becoming critical that organizations should adopt a data architecture that supports AI governance. The time for data professionals to meet this challenge is now.

Strategy 86

Strategy Data Architecture Cost-Benefit Reporting 86

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

IBM Big Data Hub

JANUARY 5, 2023

Because your data architecture dictates how your data assets and data management resources are structured, it plays a critical role in how effective your organization is at performing these tasks. Meaning, data architecture is a foundational element of your business strategy for higher data quality.

Data Quality 52

Data Quality Data Architecture Strategy Data Lake 52

Octopai

JULY 11, 2022

Which sales strategies bring in the most customers, or the most loyal customers, or the highest revenue? When business users complain that they can’t get good enough data to make these types of calls wisely, that’s a big problem. , going to convince top-level management that adopting a data quality strategy pays big dividends?

Data Quality 79

Data Quality Strategy Business Objectives Sales 79

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 67

Data Strategy Strategy Enterprise Insurance 67

CIO Business Intelligence

JUNE 4, 2024

Developer tools SAP’s clean core strategy is getting a boost with new capabilities in both SAP’s low-code and pro-code development tools. SAP Analytics Cloud will also, in the second half of the year, be able to connect to SQL data sources as live connections, eliminating the need to replicate data.

IT 88

IT Data Governance ROI Business Objectives 88

CIO Business Intelligence

MARCH 6, 2024

The business transformation we’ve led for the last several years has many parts; all our products have been re-built as cloud products and we continue our heritage of being neutral about data, supporting cloud, on premise, and hybrid workloads. My advice is to embrace the concept that data governance is what can allow you to go faster.

Modeling 104

Modeling Management IT Metrics 104

CIO Business Intelligence

NOVEMBER 28, 2023

Still, to truly create lasting value with data, organizations must develop data management mastery. This means excelling in the under-the-radar disciplines of data architecture and data governance. Contributing to the general lack of data about data is complexity. Seven individuals raised their hands.

Management 106

Management Data Architecture Data Lake Data Strategy 106

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

IBM Big Data Hub

AUGUST 2, 2023

People analytics is at the center of Human Resources (HR) strategy. Companies rely heavily on data and analytics to find and retain talent, drive engagement, and improve productivity. However, analytics are only as good as the quality of the data, which aims to be error-free, trustworthy, and transparent. What is data quality?

Data Quality 60

Data Quality Snapshot Data Governance Data-driven 60

IBM Big Data Hub

DECEMBER 14, 2023

While the need for reliable, resilient, recoverable and corruption-free data governance has long been achieved by a backup and recovery routine, more modern techniques have been developed to support proactive measures that protect against threats before they occur. Cyber resiliency goes beyond mere cybersecurity measures.

Risk 79

Risk Measurement Business Objectives Optimization 79

datapine

SEPTEMBER 29, 2022

1) What Is Data Quality Management? 4) Data Quality Best Practices. 5) How Do You Measure Data Quality? 6) Data Quality Metrics Examples. 7) Data Quality Control: Use Case. 8) The Consequences Of Bad Data Quality. 9) 3 Sources Of Low-Quality Data. 10) Data Quality Solutions: Key Attributes.

Data Quality 241

Data Quality Metrics Data-driven Management 241

FineReport

APRIL 9, 2024

Challenges in Data Management Data Security and Compliance The protection of sensitive patient information and adherence to regulatory standards pose significant challenges in healthcare data management. Quality assurance measures play a pivotal role in validating the accuracy and relevance of data utilized by BI tools.

Digital Transformation 52

Digital Transformation Business Intelligence Data-driven Visualization 52

Cloudera

SEPTEMBER 19, 2023

Adding another position may not be terribly appealing, but there is one C-suite role every company should consider—chief data and analytics officer (CDO or CDAO). Data is the lifeblood of modern business, the fuel that powers digital transformation, and every company should have a data strategy.

IT 80

IT Data Strategy ROI Data-driven 80

erwin

JANUARY 11, 2019

Organizations have spent a lot of time and money trying to harmonize data across diverse platforms , including cleansing, uploading metadata, converting code, defining business glossaries, tracking data transformations and so on. But the attempts to standardize data across the entire enterprise haven’t produced the desired results.

Data Governance 40

Data Governance Risk Metadata Management 40

erwin

SEPTEMBER 13, 2022

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. Learn how to maximize the business impact of your data.

Data Governance 52

Data Governance Data-driven Data Architecture Data Quality 52

CIO Business Intelligence

MARCH 11, 2024

Customer experience will be a key target for gen AI infusions, with 35% of CX executives agreeing that the acceleration of innovative capabilities such as gen AI and Web3 will have a significant impact on future CX strategies, according to an October 2023 IDC FutureScape report on customer experience trends.

Data-driven 67

Data-driven Strategy ROI Machine Learning 67

IBM Big Data Hub

MARCH 29, 2024

Generative AI foundational models train on massive amounts of unstructured and structured data, but the orchestration is critical to success. You need mature data governance plans, incorporation of legacy systems into current strategies, and cooperation across business units.

Management 83

Management Structured Data Modeling Data Governance 83

IBM Big Data Hub

APRIL 24, 2024

Some common principles and practices organizations use to bolster data privacy include: Data visibility For effective data governance, an organization needs to know the types of data it has, where the data resides, and how it is used.

Risk 79

Risk Measurement Data Governance Insurance 79

Octopai

JUNE 19, 2023

For business users Data Catalogs offer a number of benefits such as better decision-making; data catalogs provide business users with quick and easy access to high-quality data. This availability of accurate and timely data enables business users to make informed decisions, improving overall business strategies.

Metadata 88

Metadata Data Governance Measurement Risk Management 88

TDAN

NOVEMBER 15, 2022

At the recent InfoGovWorld conference, I had the opportunity to participate in a panel discussion about the future of Data Governance. Common themes were the growing importance of governance metadata, especially in the areas of business value, success measurement and reduction in operational and data risk.

Metadata 52

Metadata Management Data Governance Measurement 52

CIO Business Intelligence

MAY 9, 2023

Like most CIOs you’ve no doubt leaned on ROI, TCO and KPIs to measure the business value of your IT investments. Those Three Big Acronyms are still important for fine-tuning your IT operations, but success today is increasingly measured in business outcomes. Maybe you’ve even surpassed expectations in each of these yardsticks.

ROI 110

ROI Cost-Benefit KPI Uncertainty 110

erwin

JUNE 22, 2020

Earlier this year, erwin released its 2020 State of Data Governance and Automation (DGA) report. About 70 percent of the DGA report respondents – a combination of roles from data architects to executive managers – say they spend an average of 10 or more hours per week on data-related activities.

Metadata 105

Metadata Data Governance Digital Transformation Measurement 105

FineReport

JUNE 7, 2024

Elevate your data transformation journey with Dataiku’s comprehensive suite of solutions. Real-time Analytics : Tableau enables real-time analytics, providing instant insights into changing data trends and patterns.

Visualization 52

Visualization Predictive Analytics Dashboards Predictive Modeling 52

Anmut

APRIL 6, 2023

What are the Benefits of Doing a Data Maturity Assessment? How do you do a Data Maturity Assessment? What does a Data Maturity Assessment Measure? What makes a Good Data Maturity Assessment? What is a Data Maturity Assessment? What does a Data Maturity Assessment Measure?

Cost-Benefit 52

Cost-Benefit Data Quality Data Governance Measurement 52

IBM Big Data Hub

JUNE 12, 2023

People analytics is at the center of human resources (HR) strategy and planning. Companies rely heavily on data and analytics to find and retain talent, drive engagement, improve productivity and more across enterprise talent management. What is data quality? Data quality is also critical for data governance.

Data Quality 63

Data Quality Data Governance People Analytics Data-driven 63

erwin

JUNE 19, 2020

Where an enterprise architect is concerned with the EA’s current state, and the strategy to reach the desired future-state, solutions architects act on that strategic direction. A better way of highlighting the difference between the two is through their focus on strategy vs. technology. Enterprise Architects vs. Solutions Architects.

Enterprise 130

Enterprise Data Architecture Strategy Data Governance 130