Data Quality: Making Change a Choice

DataFloq

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 Assessment Is Not All Roses. What Challenges Should You Be Aware Of?

KDnuggets

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.

Using Extensions to Increase Tableau Data Quality

Tamr

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.

Tips to Create Effective Data Quality Rules

TDAN

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.

Your Guide to Data Quality Management

ScienceSoft

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.

Finding Data Quality

Jim Harris

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 in Six Verbs

Jim Harris

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 Management on Display at Informatica World 2019

David Menninger's Analyst Perspectives

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.

The Top 8 Benefits of Data Lineage

erwin

It’s important we recognize the benefits of data lineage. As corporate data governance programs have matured, the inventory of agreed-to data policies has grown rapidly. To data-driven businesses, the benefits of data lineage are significant.

Steps to an Effective Data Governance Structure

TDAN

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.

Broken Data – What You Don’t Know Will Hurt You – Part 1

TDAN

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).

Common Data Governance Challenges

TDAN

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.

All in the Data: What Makes a Data Steward?

TDAN

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 […].

The Non-Invasive Data Governance Framework – The Details

TDAN

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 Roles and Responsibilities

TDAN

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

The Case of Data Democratization

TDAN

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.

Data Strategy & Insights 2019: Reimagine To Reinvent

Srividya Sridharan

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

You Need a Better Data Management Solution

TDAN

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.

Data Management 20/20: Business Glossary Best Practices

TDAN

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.

Practical Points from the DGPO: You Can Be Successful in Data Governance

TDAN

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 Ownership Considerations

TDAN

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

All in the Data: CDOs Should Be Asking “How” … and Not “Why”

TDAN

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 […].

DAMA International Community Corner: Updates from DAMA-I

TDAN

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.

Insights from the 2019 DGIQ Conference

TDAN

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!

Descriptive Statistics and Data Visualization

TDAN

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.

All in the Data: Calm Management’s Fears About Data Governance

TDAN

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.

Practical Points from the DGPO: What Data Governance Is and Is Not

TDAN

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.

Using Strategic Data Governance to Manage GDPR/CCPA Complexity

erwin

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.

To Own or Not to Own Data

TDAN

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.

The latest edition of The Data & Analytics Dictionary is now out

Peter James Thomas

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.

Data Governance Stock Check: Using Data Governance to Take Stock of Your Data Assets

erwin

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 Professional Introspective: Failing to Plan is Planning to Fail

TDAN

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.

Business Process Can Make or Break Data Governance

erwin

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.

How BI Saves Lives and Money

TDAN

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

The Non-Invasive Data Governance Framework – The Framework Structure

TDAN

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 Dictionary vs. Business Glossary

TDAN

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 […].

What You Should Know about CRM Testing

TDAN

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.

The Dual Utilization of Big Data In SEO And UX

Smart Data Collective

Big data plays a prominent role in almost every facet of our lives these days. We are witnessing a growing number of companies using big data in healthcare , criminal justice and many other fields. One area that benefits from big data the most is website management and outreach.

Broken Data: What You Do Not Know Will Hurt You – Part 2

TDAN

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.

Constructing A Digital Transformation Strategy: Putting the Data in Digital Transformation

erwin

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.