erwin

OCTOBER 8, 2020

But transforming and migrating enterprise data to the cloud is only half the story – once there, it needs to be governed for completeness and compliance. That means your cloud data assets must be available for use by the right people for the right purposes to maximize their security, quality and value.

Data Governance 145

Data Governance Metadata Testing Data Lake 145

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

Corinium

MARCH 8, 2021

They need a modern data architecture that can provision trusted data and bring together data and insights from multiple analytical data stores to make it easy for information consumers to access, consume, use and act on it to drive value. What are the key trends in companies striving to become data-driven.

Data-driven 195

Data-driven Enterprise Data Architecture Data Governance 195

erwin

FEBRUARY 13, 2020

When an organization’s data governance and metadata management programs work in harmony, then everything is easier. Data governance is a complex but critical practice. Creating and sustaining an enterprise-wide view of and easy access to underlying metadata is also a tall order. Metadata Management Takes Time.

Metadata 135

Metadata Data Governance Management Cost-Benefit 135

erwin

APRIL 15, 2020

On a business level, decisions based on bad external data may have the potential to cause business failures. In business, data is the food that feeds the body or enterprise. Better data makes the body stronger and provides a foundation for the use of analytics and data science tools to reduce errors in decision-making.

Data Governance 134

Data Governance Metadata Testing Reporting 134

erwin

JANUARY 9, 2020

Enterprises are trying to manage data chaos. They also face increasing regulatory pressure because of global data regulations , such as the European Union’s General Data Protection Regulation (GDPR) and the new California Consumer Privacy Act (CCPA), that went into effect last week on Jan. CCPA vs. GDPR: Key Differences.

Data Governance 144

Data Governance Modeling Metadata Unstructured Data 144

erwin

NOVEMBER 6, 2019

erwin released its State of Data Governance Report in February 2018, just a few months before the General Data Protection Regulation (GDPR) took effect. Download Free GDPR Guide | Step By Step Guide to Data Governance for GDPR?. How to automate data mapping. The Role of Data Automation.

Metadata 102

Metadata Data Governance Management Cost-Benefit 102

O'Reilly on Data

FEBRUARY 4, 2019

In practice this means developing a coherent strategy for integrating artificial intelligence (AI), big data, and cloud components, and specifically investing in foundational technologies needed to sustain the sensible use of data, analytics, and machine learning. have been in use at enterprises across the globe for several years.

Machine Learning 278

Machine Learning Enterprise IoT Big Data 278

erwin

NOVEMBER 28, 2019

Enterprise architecture tools are becoming more important than ever. The International Enterprise Architecture Institute (IEAI) defines enterprise architecture (EA) as “the analysis and documentation of an enterprise in its current and future states from an integrated strategy, business and technology perspective.”.

Enterprise 145

Enterprise Data-driven Data Governance Digital Transformation 145

IBM Big Data Hub

FEBRUARY 9, 2023

In our last blog , we delved into the seven most prevalent data challenges that can be addressed with effective data governance. Today we will share our approach to developing a data governance program to drive data transformation and fuel a data-driven culture.

Data Governance 76

Data Governance Business Objectives Data Quality Strategy 76

BI-Survey

FEBRUARY 6, 2020

Modernizing and optimizing enterprise reporting – or classical BI – has not been such a priority for many of today’s organizations, even though it constitutes the backbone of information supply for decision support. Technological innovations and their increasing proliferation are shaping enterprise reporting and BI.

Reporting 59

Reporting Optimization Enterprise Data Quality 59

erwin

JULY 9, 2021

At the root of data intelligence is data governance , which helps ensure the right level of data access, availability and usage based on a defined set of data policies and principles. The Importance of Data Governance. Organizations recognize the importance of effective data governance.

Data Governance 59

Data Governance Business Driver Strategy Statistics 59

Alation

JANUARY 26, 2023

However, data needs to be easily accessible, usable, and secure to be useful — yet the opposite is too often the case. What’s worse, just 3% of the data in a business enterprise meets quality standards. There’s also no denying that data management is becoming more important, especially to the public.

Data Governance 52

Data Governance Strategy Data Quality Marketing 52

Alation

APRIL 13, 2021

Much of his work focuses on democratising data and breaking down data silos to drive better business outcomes. In this blog, Chris shows how Snowflake and Alation together accelerate data culture. He shows how Texas Mutual Insurance Company has embraced data governance to build trust in data.

Insurance 98

Insurance Data Governance Data-driven Metrics 98

erwin

JULY 2, 2020

Users discuss how they are putting erwin’s data modeling, enterprise architecture, business process modeling, and data intelligences solutions to work. IT Central Station members using erwin solutions are realizing the benefits of enterprise modeling and data intelligence. For Matthieu G., George H., Roshan H.,

Enterprise 122

Enterprise Modeling Metadata Data Governance 122

erwin

NOVEMBER 13, 2020

The business challenges facing organizations today emphasize the value of enterprise architecture (EA) , so the future of EA is closer than you think. See also: What Is Enterprise Architecture? . Data Security & Risk Management. Data Governance (knowing what data you have and where it is).

Enterprise 131

Enterprise Digital Transformation Key Performance Indicator Data-driven 131

CIO Business Intelligence

NOVEMBER 29, 2022

Given the volume of data most organizations have, they need agile technologies that can provide a vast array of services to streamline content management and compliance, leverage automation to simplify data governance, and identify and optimize all of their company’s valuable data.

Data Governance 85

Data Governance Digital Transformation Forecasting Software 85

Octopai

FEBRUARY 9, 2023

Trying to manage data governance without a comprehensive data lineage solution can leave you feeling like your data keeps running away. It’s not easy to keep up with data and metadata on the move. A comprehensive data lineage tool is the secret weapon of successful data governance managers and data stewards.

Data Governance 52

Data Governance Metadata Data Quality Management 52

BI-Survey

FEBRUARY 17, 2020

From operational systems to support “smart processes”, to the data warehouse for enterprise management, to exploring new use cases through advanced analytics : all of these environments incorporate disparate systems, each containing data fragments optimized for their own specific task. .

Data Governance 89

Data Governance Data Warehouse Data Quality Data Strategy 89

erwin

AUGUST 20, 2020

Enterprise architecture (EA) is a strategic planning initiative that helps align business and IT. It provides a visual blueprint, demonstrating the connection between applications, technologies and data to the business functions they support. In this post: What Is Enterprise Architecture? Benefits of Enterprise Architecture.

Enterprise 140

Enterprise Cost-Benefit Risk Data Governance 140

erwin

OCTOBER 17, 2019

Architect Everything: New use cases for enterprise architecture are increasing enterprise architect’s stock in data-driven business. As enterprise architecture has evolved, so to have the use cases for enterprise architecture. Top 7 Use Cases for Enterprise Architecture. Data security/risk management.

Enterprise 106

Enterprise Digital Transformation Data Governance Risk Management 106

erwin

JANUARY 24, 2019

In most companies, an incredible amount of data flows from multiple sources in a variety of formats and is constantly being moved and federated across a changing system landscape. With an automation framework, data professionals can meet these needs at a fraction of the cost of the traditional manual way. Governing metadata.

Data Governance 71

Data Governance Metadata Data-driven Cost-Benefit 71

Alation

JUNE 23, 2022

Alation has been named the #1 data catalog in Dresner’s 2022 Wisdom of Crowds report for the sixth consecutive year! To arrive at a ranking, report authors interviewed and surveyed real data catalog users. In this way, report authors have furnished a useful buyer’s guide for prospective data catalog users.

Reporting 52

Reporting Data Governance Data-driven Digital Transformation 52

Data Virtualization

FEBRUARY 29, 2024

Reading Time: 2 minutes I’m delighted that Forrester Research has recognized Denodo as a Leader in The Forrester Wave™: Enterprise Data Fabric report. The 2024 report evaluates Denodo and 14 other data fabric vendors in terms of their current offerings, strategy, and market presence.

Enterprise 52

Enterprise Data Integration Reporting Strategy 52

erwin

NOVEMBER 21, 2019

As enterprise architectures become more complex, enterprise architecture tools are becoming more important than ever. Enterprise architecture also enables a better understanding of change, through impact analysis – which is essential considering the agile, data-driven landscape and its state of flux.

Enterprise 77

Enterprise Data-driven Data Governance Digital Transformation 77

IBM Big Data Hub

JUNE 8, 2022

By taking advantage of data, enterprises can shape business decisions, minimize risk for stakeholders, and gain competitive advantage. Ensuring data quality and access within an organization, while establishing and maintaining proper governance processes, is a major struggle for many organizations.

Data-driven 56

Data-driven Enterprise Data Governance Data Lake 56

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

erwin

NOVEMBER 21, 2019

As enterprise architectures become more complex, enterprise architecture tools are becoming more important than ever. Enterprise architecture also enables a better understanding of change, through impact analysis – which is essential considering the agile, data-driven landscape and its state of flux.

Enterprise 72

Enterprise Data-driven Data Governance Digital Transformation 72

Alation

JULY 15, 2021

Many data catalog initiatives fail. According to the latest report from Eckerson Group, Deep Dive on Data Catalogs , shoppers must match the goals of their organizations to the capabilities of their chosen catalog. A data catalog’s approach is key. Data Governance: Access with Compliance Guidance.

Reporting 98

Reporting Data Governance Recreation/Entertainment Metadata 98

FineReport

NOVEMBER 25, 2020

Dashboard reporting refers to putting the relevant business metrics and KPIs in one interface, presenting them visually, dynamic, and in real-time, in the dashboard formats. With the advent of modern dashboard reporting tools, you can conveniently visualize your data into dashboards and reports and extract insightful information from it.

Dashboards 98

Dashboards Reporting Visualization Snapshot 98

CIO Business Intelligence

JANUARY 24, 2024

Organizations can’t afford to mess up their data strategies, because too much is at stake in the digital economy. How enterprises gather, store, cleanse, access, and secure their data can be a major factor in their ability to meet corporate goals. Here are some data strategy mistakes IT leaders would be wise to avoid.

Data Strategy 132

Data Strategy Strategy Unstructured Data Data Governance 132

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

Octopai

AUGUST 7, 2019

. – Processing: Here, too, cloud computing provides affordable, scalable computing power for the most demanding data processing tasks. For example, it has never been easier to create useless or misleading reports. More important, it has never been easier to lose track of important, sensitive data.

Data Governance 49

Data Governance Metadata Reporting Enterprise 49

Alation

APRIL 27, 2022

In fact, 90% of organizations with top-tier data cultures either met or exceeded their revenue targets over the last 12 months. This was a key finding in the quarterly Alation State of Data Culture Report , which provides an assessment of the progress enterprises have made in creating a data culture.

Reporting 52

Reporting Data-driven Digital Transformation Data Governance 52

erwin

APRIL 25, 2019

Data governance is one area where business and IT never seemed to establish ownership. Early attempts at data governance treated the idea as a game of volleyball, passing ownership back and forth, with one team responsible for storing data and running applications, and one responsible for using the data for business outcomes.

Enterprise 94

Enterprise Digital Transformation Data Governance Business Intelligence 94

Cloudera

MARCH 25, 2021

It won’t matter if you can collect social media data or geo location data, images, etc. if you cannot properly secure that data. Reporting on the Virginia CDPA, a recent American Banker article highlights that the introduction of the state privacy laws may force banks to break down the silos.

Data Strategy 65

Data Strategy Strategy Enterprise Insurance 65

Rocket-Powered Data Science

MARCH 20, 2023

Data collections are the ones and zeroes that encode the actionable insights (patterns, trends, relationships) that we seek to extract from our data through machine learning and data science. Transforming data to actionable insights and informative content needs some help! generate) informative content from insights.

Data Warehouse 325

Data Warehouse Metadata Digital Transformation Unstructured Data 325