Corinium

JANUARY 13, 2020

Datacon Africa DataCon Africa Insights Data and AnalyticsIn the last decade regulatory requirements in financial services increased significantly.

Data Quality 272

Data Quality Analytics 272

Corinium

FEBRUARY 3, 2020

Using data to inform business decisions only works when the data is correct. Unfortunately for the insurance industry’s data leaders, many data sources are riddled with inaccuracies. Data is the lifeblood of the insurance industry. Data and Analytics

Insurance 212

Insurance Data Quality Risk Management 212

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 252

Data Quality Risk Management Technology 252

Corinium

JANUARY 21, 2020

We are pleased to be working with our media partner, IQ International on our Chief Data & Analytics Officer Brisbane event, where they will be sharing some of their work in developing best practice data quality metrics for every industry. CDAO Sydney Data and Analytics

Data Quality 195

Data Quality Metrics Analytics 195

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Data Quality

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

Smarten

DECEMBER 11, 2019

Data Quality vs. Data Agility – A Balanced Approach! When it comes to analytical quality versus analytical agility, we might see the issue in the same light. Sometimes we are so focused on perfection that we do not see the benefit of agility.

Data Quality 52

Data Quality Data-driven Reporting Visualization 52

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 61

Data Quality Management 61

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

Jim Harris

JANUARY 1, 2018

The sales pitches for data quality solutions often suffer from Chicken Little Syndrome, when vendors and consultants, instead of trying to sell the business benefits of data quality , focus too much on the negative aspects of not investing in data quality , and try scaring people into prioritizing data quality initiatives by exclaiming “your company is failing because your data quality is bad!” Data Quality Debates

Data Quality 62

Data Quality Consulting Dashboards Testing 62

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 263

Management Data Lake Data Integration Data Quality 263

IBM Big Data Hub

FEBRUARY 17, 2020

Imagine opening your mailbox and seeing a letter addressed to “current resident,” or having your financial institution’s AI powered digital assistant inform you that your replacement card is on its way to your old address

Data Quality 59

Data Quality IT 59

TDAN

MARCH 3, 2020

In most of our organizations we have people doing data analysis all over the place. From very technical SQL queries and cubes to the more mundane spreadsheet-based number crunching, we have no shortage of data activity going on.

Data Quality 56

Data Quality IT Data Governance Data Strategy 56

TDAN

MARCH 31, 2020

Stewardship is one of the foundational components of a successful data governance (DG) program but it can also be one of the more confusing areas of DG to understand.

Data Quality 52

Data Quality Data Governance IT Data Strategy 52

TDAN

MARCH 31, 2020

Neil Young waxed poetically when he proclaimed that “It’s better to burn out than it is to rust” in his 1987 rock and roll anthems “My, My, Hey, Hey” and its alter-ego, “Hey, Hey, My, My.” On the surface, the statement may seem to tell us that “rock-and-roll is here to stay.” At second or […].

IT 52

IT Data Quality Metadata Data Governance 52

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 IT 65

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 Management Data Strategy 68

TDAN

MARCH 3, 2020

This is surely the case with the “new” products that call themselves data catalogs. But before talking about the rise of the data catalog, I will take […].

Metadata 65

Metadata Technology Data Quality Data Governance 65

TDAN

MARCH 17, 2020

Business has a fundamental problem with data quality. In some places it’s merely painful, in others it’s nearly catastrophic. Why is the problem so pervasive? Why does it never seem to get fixed? I believe we’ve been thinking about the problem wrong. It’s time for a fresh look.

IT 52

IT Data Quality Metadata Data Architecture 52

TDAN

MARCH 17, 2020

Data wellness obviously means a lot to me. David Crosby, of super group fame with Stills, Nash and Young, once said that you have to write about something that goes on in your life if you want to write something that means something to you.

Data Quality 56

Data Quality Metadata Data Governance Management 56

TDAN

DECEMBER 31, 2019

Organizations that have implemented Data Governance programs, or Information Governance, Data/Information Management or Records Management programs will be the first to tell you that these data disciplines are not easy to operationalize. Data Governance involves […].

Data Governance 52

Data Governance Data Quality Business Intelligence Management 52

TDAN

MARCH 17, 2020

In this column I want to talk about data literacy, and not because it is the “buzzword de jour.” We’ve seen this before with data […].

Data Quality 52

Data Quality Data Governance IT Business Intelligence 52

TDAN

MARCH 3, 2020

Tucked away in portals across the internet, in different formats, with bad headers, strange encoding, and more – the world of data can be treacherous, and despite ‘data scientist’ being dubbed the sexiest job of the century, every data professional knows that it’s not all glitz and glam.

Data Quality 56

Data Quality IT Business Intelligence Data Strategy 56

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 Management 77

TDAN

FEBRUARY 4, 2020

The 2019 Data Governance Winter Conference took place December 2-6th, 2019 at the oceanfront Marriott Delray Beach in Florida, just steps from the Atlantic Ocean.

Data Processing 52

Data Processing Data Governance Data Quality Data Strategy 52

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 Data Quality Metadata 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 Data Quality Metadata Business Intelligence 86

TDAN

FEBRUARY 4, 2020

More money, more fun, more pleasure, more accomplishment, more intelligence, and yes, more data. More, more, more! We are culturally conditioned to want more. There is an idea that if we get more, we will be happier and more successful. The need for more fuels consumerism and business.

Big Data 52

Big Data Marketing Data Quality Data Governance 52

TDAN

DECEMBER 31, 2019

After decades of hope, hype, over-promising, and disappointment, technology that businesspeople can use is finally becoming available, albeit with some level of data literacy. It seems that Self-Service BI is finally taking off.

Technology 56

Technology Data Quality Metadata Data Governance 56

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

JANUARY 14, 2020

The stories you hear on the news often mention how this person or that person was battling their demons. Alcoholism, drug addiction, compulsive behaviors like gambling … Demons take many forms. Demons almost never result in good things happening.

Data Quality 52

Data Quality Metadata Data Governance Business Intelligence 52

TDAN

DECEMBER 17, 2019

If you do a general internet search for data catalogs, all sorts of possibilities emerge. If you look closely, and ask a lot of questions, you will find that some of these products are not actually fully functional data catalogs at all.

Metadata 52

Metadata Software Data Quality Management 52

TDAN

DECEMBER 17, 2019

When you are quick to adapt to market changes and can deliver quality products and services in rapid succession, you are more likely to stay ahead of the competition. Being agile in today’s market is not an option; it is a competitive advantage you cannot afford to miss.

Management 52

Management Marketing Data Quality IT 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 […].

Data Quality 69

Data Quality Metadata Data Governance Business Intelligence 69

TDAN

FEBRUARY 4, 2020

Has there ever been a time where more people were talking about data and writing about data than now, as 2020 and a new decade begins? Data analytics is hot. Every company wants to be data driven and every business and individual is […]. It was the best of times. It was the worst of times.

Data Governance 40

Data Governance Data-driven Data Analytics Analytics 40

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

FEBRUARY 4, 2020

Back in 2017, I wrote an article titled There are No Facts … Without Data. It is time to revisit that topic. The overwhelmingly positive response to that article validated for me that most people believed my premise to be true. I was very thankful to see that. In this anti-fact world (watch cable news […].

Data Governance 43

Data Governance Data Quality Metadata IT 43

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

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 Data Quality Metadata IT 67

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 Modeling Data Quality Metadata 56