DataFloq

JUNE 25, 2019

Big DataIn the modern world, nothing stays the same for long. We live in a state of constant change; new technologies, new trends and new risks. Yet it’s a commonly held belief that people don’t like change.

Data Quality 264

Data Quality Risk Management Technology 264

KDnuggets

SEPTEMBER 24, 2019

Of all data quality characteristics, we consider consistency and accuracy to be the most difficult ones to measure. 2019 Sep Opinions Challenges Data QualityHere, we describe the challenges that you may encounter and the ways to overcome them.

Data Quality 95

Data Quality Measurement 95

Tamr

JULY 25, 2019

This post is the first in a series of blogs about Tableau and our Tableau extension for data issue tracking, Tamr Steward. Tableau extensions increase functionality in Tableau, the versatile tool for data analytics and visualization. Tamr Steward: The first issue tracker for data.

Data Quality 106

Data Quality Dashboards Visualization Data Governance 106

TDAN

MARCH 5, 2019

You know you can rule the quality of your data. Read on to learn simple but effective tips on how to make superb data quality possible. The bad news is: Low-quality data costs companies about $15 million per year, according to Gartner’s Data Quality Market Survey.

Data Quality 52

Data Quality Marketing Data Governance Management 52

Jim Harris

DECEMBER 24, 2015

Have you ever experienced that sinking feeling, where you sense if you don’t find data quality, then data quality will find you? I hope that you enjoy reading this blog post, but most important, I hope you always remember: “Data are friends, not food.” Data Silos.

Data Quality 66

Data Quality Enterprise Data Governance Business Intelligence 66

ScienceSoft

DECEMBER 13, 2018

Setting up data quality management seems to be a blurry task? These best practices will help you improve the quality of your data and, ultimately, your decisions We show what a well-organized process looks like and enumerate the required tools.

Data Quality 56

Data Quality Management 56

Jim Harris

JANUARY 1, 2016

Once upon a time when asked on Twitter to identify a list of critical topics for data quality practitioners, my pithy (with only 140 characters in a tweet, pithy is as good as it gets) response was, and especially since I prefer emphasizing the need to take action, to propose six critical verbs: Investigate , Communicate , Collaborate , Remediate , Inebriate , and Reiterate. 1 — Investigate Data quality is not exactly a riddle wrapped in a mystery inside an enigma.

Data Quality 54

Data Quality Data Governance ROI Data Architecture 54

David Menninger's Analyst Perspectives

JUNE 12, 2019

Under that focus, Informatica's conference emphasized capabilities across six areas (all strong areas for Informatica): data integration, data management, data quality & governance, Master Data Management (MDM), data cataloging, and data security.

Management 259

Management Data Lake Data Integration Data Quality 259

TDAN

SEPTEMBER 3, 2019

The quality of data used in business is more important now than ever before. Accordingly, in order for organizations to deliver good business results, their data must be accurate, and the use of that data must be governed through policy and monitoring.

Data Governance 68

Data Governance Data Quality Data Strategy Management 68

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. Organizations typically define the scope of their data problems by their current (known) data quality issues (symptoms).

Data Quality 65

Data Quality Data Architecture Data Governance Big Data 65

TDAN

SEPTEMBER 3, 2019

Organizations faced with the delivery of formal Data Governance or Information Governance programs recognize that there are several challenges they will face when getting started and as the program is operationalized.

Data Governance 77

Data Governance Metadata Data Quality Data Strategy 77

TDAN

JULY 2, 2019

The third and final part of the Non-Invasive Data Governance Framework details the breakdown of components by level, providing considerations for what must be included at the intersections.

Data Governance 82

Data Governance Metadata Data Quality Data Architecture 82

TDAN

APRIL 30, 2019

Roles and responsibilities are the backbone of a successful information or data governance program.

Data Governance 86

Data Governance Metadata Data Quality Business Intelligence 86

TDAN

NOVEMBER 19, 2019

The DAMA-International Board of Directors (BoD) would like to communicate the current status of a few activities of interest to our membership and beyond. First, we would like to remind everyone that the EDW2020 conference is now accepting registrations.

Data Quality 52

Data Quality Data Governance Business Intelligence Data Strategy 52

TDAN

AUGUST 6, 2019

All businesses, no matter the industry or focus, are completely inundated by data. After all, we live in a very competitive world and data can help everyone improve their business performance.

Technology 63

Technology Data Quality Data Governance Business Intelligence 63

TDAN

OCTOBER 1, 2019

Become a “Data-First” Company The organizations that invest in data first and foremost are changing the business landscape. Apple had famously reached a trillion dollar valuation on August 2, 2018, and analysts predicted that Amazon wasn’t far behind.

Management 56

Management Data Quality Data Lake Data Governance 56

TDAN

OCTOBER 15, 2019

I recently read a blog that mocked my statement that “everybody is a data steward” and explicitly negated the fact that “everyone who uses data should be a data steward.” Everyone who uses data IS a data steward if they are held formally accountable for […].

Data Governance 52

Data Governance Metadata Data Quality Business Intelligence 52

TDAN

APRIL 16, 2019

The secret lies with Data Governance. The Chief Data Officer (or whoever the Data Czar is at your organization) needs to get past, and I mean way past, the “Why is Data Governance important?” or “Why do we need Data Governance?” questions if they are ever going to be successful czar-ing the data. Rather, the […].

Metadata 69

Metadata Data Quality Data Governance Business Intelligence 69

TDAN

JULY 2, 2019

Aren’t you tired of seeing articles, blogs, and postings about struggling and failing data governance programs? One of the frequent questions that the Data Governance Professionals Organization (DGPO) receives is “can anyone REALLY be successful with data governance?”

Data Governance 56

Data Governance Data Quality Management 56

TDAN

AUGUST 20, 2019

Everyone talks about collecting, storing, and analyzing data but how do you make use of this data if you cannot understand it? The primary problem is the meaning of data within a certain context where it is used. It’s all about communication.

Management 56

Management Metadata Data Quality Modeling 56

TDAN

APRIL 2, 2019

If you are just starting out and feel overwhelmed by all the various definitions, explanations, and interpretations of data governance, don’t be alarmed. Even well-seasoned data governance veterans can struggle with the definition and explanation of what they do day to day.

Data Governance 67

Data Governance Metadata Data Quality Data Strategy 67

TDAN

SEPTEMBER 3, 2019

The currency of a data governance initiative is the data that will be involved in developing the appropriate operating framework for your organization.

Enterprise 52

Enterprise Data Quality Data Governance Business Intelligence 52

TDAN

JULY 16, 2019

The 2019 Data Governance and Information Quality (DGIQ) Conference ([link] hosted by Debtech International and DATAVERSITY, took place in San Diego, California from June 3-7, 2019 and this year’s event was another resounding success!

Data Processing 52

Data Processing Data Quality Data Governance Data Strategy 52

TDAN

JULY 16, 2019

Turn Your Statistics Into Something More Interesting Data is quickly becoming a defining thing in the business world. It is the lifeblood of every company decision and thus, it defines what companies do.

Statistics 52

Statistics Visualization Data Quality IT 52

TDAN

JULY 16, 2019

Wouldn’t it be great if you could simply put structure around how your organization governs your data without throwing a lot of money and resources at the problem? It’s all in the data.

Data Governance 56

Data Governance Management Metadata Data Quality 56

TDAN

MAY 14, 2019

To own data or not to own data, that is the question. This question comes up often when I am speaking with clients or groups of people during my Data Governance webinars and conference presentations.

Metadata 61

Metadata Data Quality Data Governance Business Intelligence 61

TDAN

AUGUST 20, 2019

We hope your Data Management career and programs are progressing well. If you have issues, please refer to DAMA.org for references, as well as the DAMA Data Management Body of Knowledge (DMBok). Good day from DAMA International.

Data Quality 52

Data Quality Data Governance Data Architecture Modeling 52

TDAN

JULY 16, 2019

This phrase has been attributed to several people including: Ben Franklin, Winston Churchill, and Abraham Lincoln. Despite whoever said it first, the phrase is as true for the EDM Program as for any other ambitious endeavor.

Metadata 52

Metadata Data Quality Management Data Governance 52

TDAN

APRIL 16, 2019

When applied to healthcare, it allows providers to collect and analyze data on patient health, medical staff performance, and administrative issues. Business intelligence has two main applications: gathering information and discovering patterns.

KPI 52

KPI Data Quality Business Intelligence IT 52

TDAN

APRIL 2, 2019

Enterprises today are focused on ensuring robust data governance, and are exploring different tools and approaches to support their efforts. Let’s take “data dictionary” and “business glossary” for […].

Metadata 56

Metadata Enterprise Data Quality Data Governance 56

Srividya Sridharan

SEPTEMBER 5, 2019

Discover the themes and topics we'll be tackling at this year's Data Strategy & Insights Forum. advanced analytics analytics applications artificial intelligence (AI) customer analytics data insights data management data quality & data governance predictive analytics privacy web analytics promoted

Data Strategy 55

Data Strategy Strategy Data Quality Predictive Analytics 55

TDAN

JUNE 4, 2019

The following paper is the first of a three-part series that describes the Non-Invasive Data Governance Framework. Seiner of KIK Consulting & Educational Services (KIKconsulting.com) and The Data Administration Newsletter (TDAN.com).

Data Governance 52

Data Governance Consulting Metadata Data Quality 52

TDAN

MARCH 19, 2019

Predicted to grow to a stunning $29 billion by 2022 at a 1.9% Compound Annual Growth Rate (CAGR), the CRM software market takes a notable portion of the global information technology industry.

Testing 52

Testing Software Marketing Technology 52

erwin

JULY 12, 2019

In light of recent, high-profile data breaches, it’s past-time we re-examined strategic data governance and its role in managing regulatory requirements. for alleged violations of the European Union’s General Data Protection Regulation (GDPR). Strengthen data security.

Data Governance 110

Data Governance Management Risk Management Enterprise 110

TDAN

JULY 16, 2019

In Part One of this article, I explained that known data issues are only the tip-of-the-iceberg. Data issues are one of the most underestimated and misunderstood challenges organizations face today. Most organizations do not realize the extent of their data issues and fail to address […]. The majority of these issues are still hidden and unknown.

Data Quality 43

Data Quality Data Governance Management Data Strategy 43

erwin

SEPTEMBER 19, 2019

Data governance isn’t a one-off project with a defined endpoint. Data governance, today, comes back to the ability to understand critical enterprise data within a business context, track its physical existence and lineage, and maximize its value while ensuring quality and security.

Data Governance 96

Data Governance Risk Data Architecture Software 96

erwin

OCTOBER 24, 2019

Untapped data, if mined, represents tremendous potential for your organization. While there has been a lot of talk about big data over the years, the real hero in unlocking the value of enterprise data is metadata , or the data about the data.

Metadata 74

Metadata Management Structured Data Data-driven 74

erwin

MARCH 8, 2019

GDPR) and to ensure peak business performance, organizations often bring consultants on board to help take stock of their data assets. This sort of data governance “stock check” is important but can be arduous without the right approach and technology. For regulatory compliance (e.g.,

Data Governance 57

Data Governance Consulting Risk Metadata 57

erwin

JULY 17, 2019

Once you’ve determined what part(s) of your business you’ll be innovating — the next step in a digital transformation strategy is using data to get there. Constructing A Digital Transformation Strategy: Data Enablement. With automation, data quality is systemically assured.

Digital Transformation 94

Digital Transformation Strategy Data Enablement Metadata 94

Peter James Thomas

AUGUST 2, 2019

After a hiatus of a few months, the latest version of the peterjamesthomas.com Data and Analytics Dictionary is now available. Data Architecture – Definition (2). Data Catalogue. Data Community. Data Domain (contributor: Taru Väre ). Data Enrichment.

Statistics 78

Statistics Modeling Data Analytics Reporting 78