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 98

Data Governance Digital Transformation Forecasting Software 98

Alation

OCTOBER 5, 2021

What is data governance and how do you measure success? Data governance is a system for answering core questions about data. It begins with establishing key parameters: What is data, who can use it, how can they use it, and why? Why is your data governance strategy failing?

Data Governance 96

Data Governance Strategy Data Quality Metrics 96

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

Alation

FEBRUARY 14, 2023

And a data breach poses more than just a PR risk — by violating regulations like GDPR , a data leak can impact your bottom line, too. This is where successful data governance programs can act as a savior to many organizations. This begs the question: What makes data governance successful? Where do you start?

Data Governance 52

Data Governance ROI Metrics Cost-Benefit 52

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?. The Role of Data Automation. We wonder why.

Metadata 102

Metadata Data Governance Management Cost-Benefit 102

CDW Research Hub

AUGUST 12, 2020

What is your organization doing to protect the value of your data? A strong data governance strategy helps ensure that your data is usable, accessible and protected, guaranteeing trust in the quality and consistency of the data. But creating a data governance program is not something you can do overnight.

Data Governance 52

Data Governance Data-driven Dashboards Strategy 52

erwin

JANUARY 24, 2019

They need their data mappings to fall under governance and audit controls, with instant access to dynamic impact analysis and lineage. With an automation framework, data professionals can meet these needs at a fraction of the cost of the traditional manual way. Benefits of an Automation Framework for Data Governance.

Data Governance 71

Data Governance Metadata Data-driven Cost-Benefit 71

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

O'Reilly on Data

MAY 9, 2023

Using AI means auditing the outputs of AI systems to ensure that they’re fair; it means documenting the behaviors of AI models and training data sets so that users know how the data was collected and what biases are inherent in that data. We will have to go much farther to accurately document a model’s behavior.

Modeling 210

Modeling Reporting Data Governance Software 210

DataKitchen

FEBRUARY 22, 2024

Here, you’ll learn to draft emails, document decisions, and log meetings with the precision of an athlete, all in the noble pursuit of ensuring that when the data hits the fan, your tracks are not just covered; they’re practically invisible. ” When In Doubt, Blame The Data Provider Does the report contain errors?

Analytics 183

Analytics Data Governance Strategy Testing 183

Alation

SEPTEMBER 7, 2021

In the previous blog , we discussed how Alation provides a platform for data scientists and analysts to complete projects and analysis at speed. In this blog we will discuss how Alation helps minimize risk with active data governance. So why are organizations not able to scale governance? Meet Governance Requirements.

Data Governance 59

Data Governance Risk Data Quality Dashboards 59

CIO Business Intelligence

DECEMBER 19, 2023

The analyst reports tell CIOs that generative AI should occupy the top slot on their digital transformation priorities in the coming year. Moreover, the CEOs and boards that CIOs report to don’t want to be left behind by generative AI, and many employees want to experiment with the latest generative AI capabilities in their workflows.

Digital Transformation 143

Digital Transformation Unstructured Data Machine Learning Risk Management 143

Octopai

JUNE 24, 2019

There are a number of scenarios that necessitate data governance tools. Businesses operating within strict industry regulations, utilizing analytics software, and/or regularly consolidating data in key subject areas will find themselves looking into data governance tools to help them achieve their goals.

Data Governance 42

Data Governance Metadata Unstructured Data Software 42

erwin

SEPTEMBER 10, 2020

Not Documenting End-to-End Data Lineage Is Risky Busines – Understanding your data’s origins is key to successful data governance. Not everyone understands what end-to-end data lineage is or why it is important. Data Lineage Tells an Important Origin Story. Who are the data owners?

Data Governance 131

Data Governance Key Performance Indicator Digital Transformation Metadata 131

erwin

SEPTEMBER 17, 2020

Replace manual and recurring tasks for fast, reliable data lineage and overall data governance. It’s paramount that organizations understand the benefits of automating end-to-end data lineage. The importance of end-to-end data lineage is widely understood and ignoring it is risky business.

Cost-Benefit 143

Cost-Benefit Data Governance Metadata Reporting 143

Alation

FEBRUARY 20, 2020

Tools like MicroStrategy and Tableau make it easy for business users to quickly turn raw data into visualizations and reports. But before you can even start, you have to find a relevant data set, understand it, and trust it. Complete MicroStrategy Data & Report Cataloging. abc/xyz, etc.).

Reporting 52

Reporting Dashboards Data Governance Visualization 52

erwin

APRIL 29, 2020

These tools range from enterprise service bus (ESB) products, data integration tools; extract, transform and load (ETL) tools, procedural code, application program interfaces (API)s, file transfer protocol (FTP) processes, and even business intelligence (BI) reports that further aggregate and transform data. Data Governance.

Metadata 111

Metadata Data Governance Key Performance Indicator Data Quality 111

erwin

DECEMBER 20, 2018

The driving factors behind data governance adoption vary. Whether implemented as preventative measures (risk management and regulation) or proactive endeavors (value creation and ROI), the benefits of a data governance initiative is becoming more apparent. Defining Data Governance. to Data Governance 2.0

Data Governance 40

Data Governance ROI Risk Management Metadata 40

erwin

NOVEMBER 19, 2020

This recognition affirms our efforts in developing an integrated platform for enterprise modeling and data intelligence to support data governance, digital transformation and any other effort that relies on data for favorable outcomes. We invite you to download the report and quadrant graphic.

Metadata 98

Metadata Management Digital Transformation Data Governance 98

CIO Business Intelligence

NOVEMBER 21, 2023

There are ample reasons why 77% of IT professionals are concerned about shadow IT, according to a report from Entrust. Set parameters and emphasize collaboration To address one root cause of shadow IT, CIOs must also establish a governance and delivery model for evaluating, procuring, and implementing department technology solutions.

IT 137

IT Risk Cost-Benefit Risk Management 137

erwin

DECEMBER 12, 2019

Metadata is an important part of data governance, and as a result, most nascent data governance programs are rife with project plans for assessing and documenting metadata. Managing metadata should not be a sub-goal of data governance. The Role of Metadata in Data Governance.

Metadata 84

Metadata Data Governance Digital Transformation Data Quality 84

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

JULY 2, 2020

He added, “We have also linked it to our documentation repository, so we have a description of our data documents.” They have documented 200 business processes in this way. Once everything is reviewed, then we go on to discuss the physical data model.”. “We Data Governance with erwin Data Intelligence.

Enterprise 122

Enterprise Modeling Metadata Data Governance 122

Octopai

MAY 15, 2023

Analytics and reporting costs: Data lineage facilitates data discovery and understanding of data sources, transformations, and calculations. Impact analysis costs: When making changes to data sources, structures, or processes, organizations need to understand the downstream impact.

Data Quality 52

Data Quality Data Governance Data Integration Risk 52

CIO Business Intelligence

OCTOBER 13, 2023

The data architect also “provides a standard common business vocabulary, expresses strategic requirements, outlines high-level integrated designs to meet those requirements, and aligns with enterprise strategy and related business architecture,” according to DAMA International’s Data Management Body of Knowledge.

Data Architecture 132

Data Architecture Data Warehouse Statistics Visualization 132

erwin

AUGUST 20, 2020

As a practice, EA involves the documentation, analysis, design and implementation of an organization’s assets and structure. With an enterprise architecture management suite (EAMS) , an organization can define and document its structure to more effectively determine how to achieve its goals. Data Governance.

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. Analyst firm Ovum recently released a new report titled Ovum Market Radar: Enterprise Architecture. it ensures not only access to proper documentation but also current, updated information.

Enterprise 106

Enterprise Digital Transformation Data Governance Risk Management 106

erwin

JUNE 14, 2019

Its past successes – and future potential – are well documented, chronicled in the billion-dollar valuations of the frontrunners in the practice. According to IDC’s digital transformation predictions report for 2019, these types of initiatives are going to flood the enterprise during the next five years. Data can tell you.

Digital Transformation 111

Digital Transformation Data Governance Risk Data-driven 111

Octopai

JANUARY 19, 2020

BCBS 239 is a document published by that committee entitled, Principles for Effective Risk Data Aggregation and Risk Reporting. The document, first published in 2013, outlines best practices for global and domestic banks to identify, manage, and report risks, including credit, market, liquidity, and operational risks.

Metadata 61

Metadata Risk Management Business Intelligence Data Governance 61

erwin

DECEMBER 12, 2019

Metadata is an important part of data governance, and as a result, most nascent data governance programs are rife with project plans for assessing and documenting metadata. Managing metadata should not be a sub-goal of data governance. The Role of Metadata in Data Governance.

Metadata 52

Metadata Data Governance Digital Transformation Data Quality 52

datapine

SEPTEMBER 29, 2022

In this article, we will detail everything which is at stake when we talk about DQM: why it is essential, how to measure data quality, the pillars of good quality management, and some data quality control techniques. But first, let’s define what data quality actually is. 4 – Data Reporting.

Data Quality 241

Data Quality Metrics Data-driven Management 241

erwin

APRIL 27, 2022

Best Data Governance Solution (erwin Data Intelligence). Best Data Modeling Solution (erwin Data Modeler). Best Data Security Solution (Quest ApexSQL). In data warehousing, the data is extracted and transported from production database(s) into a data warehouse for reporting and analysis.

Data Governance 52

Data Governance Digital Transformation Metadata Data Warehouse 52

CIO Business Intelligence

MAY 10, 2023

Without this important step, AI may produce inconsistent or inaccurate data that could put an organization in a risky gambit of leveraging insights that are not vetted. The concept of AI model training relies on clean data which can be enforced through governance of the underlying data set.

Metadata 98

Metadata Data Governance Modeling Technology 98

erwin

JUNE 26, 2020

It’s no surprise that most organizations’ data is often fragmented and siloed across numerous sources (e.g., legacy systems, data warehouses, flat files stored on individual desktops and laptops, and modern, cloud-based repositories.). This also diminishes the value of data as an asset.

Metadata 132

Metadata Cost-Benefit Measurement Data-driven 132

IBM Big Data Hub

MAY 28, 2024

Employees know their responsibilities for safeguarding sensitive information and often have training on data security policies, such as identifying phishing attempts, handling sensitive information securely and promptly reporting security incidents. Additionally, some data protection laws and regulations require them.

Strategy 83

Strategy Measurement Risk Cost-Benefit 83

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. All three must align business and data-management strategies, complemented by streamlined data and analytics capabilities.”

Digital Transformation 145

Digital Transformation Data-driven Business Objectives Strategy 145

erwin

JULY 11, 2019

Salesforce recently released the State of the Connected Customer report, with 75 percent of customers saying they expect companies to use new technologies to create better experiences. Supporting and reference documentation. Data usage. Business Process Modeling: The First Step to Giving Customers What They Expect.

Digital Transformation 106

Digital Transformation Modeling Data Governance Visualization 106