Data Quality in Financial Institutions


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

Video: Why Businesses Struggle with Data Quality


Matthew Bernath, Head of Data Analytics at Rand Merchant Bank, discusses why ensuring data is high quality remains a key challenge for businesses today with Corinium's Craig Steward. Data and Analytics

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Dont Acquire a Company Until You Evaluate its Data Quality


The companies join workforces, systems, infrastructure, and data to become a new, more powerful, more valuable, more effective entity. That is only until they realized they overlooked or underestimated the key issues with data, IT infrastructure & integration plans.

Solving the Insurance Industry’s Data Quality Problem


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

Why B2B Contact and Account Data Management Is Critical to Your ROI

64% of successful data-driven marketers say improving data quality is the most challenging obstacle to achieving success. Given data’s direct impact on marketing campaigns, reporting, and sales follow up, maintaining an accurate and consistent database is a top priority for B2B organizations. This latest eBook aims to help marketing leaders understand the impact of data management on their company’s ROI.

Improving Data Quality for the Insurance Industry – Why and How


we all know, insurance is a customer centric industry and highly dependent on data. It would be fair to call data the foundation for the industry. Let’s find out how data quality can make or break your insurance business. Big Data

Data Quality: Making Change a Choice


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.

Using Extensions to Increase Tableau Data Quality


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


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


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


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.

Best Practices for a Marketing Database Cleanse

As frustrating as contact and account data management can be, this is still your database – a massive asset to your organization, even if it is rife with holes and inaccurate information. Entrusting a vendor to help maintain its accuracy and completeness is no ordinary engagement. Download ZoomInfo’s latest data-driven eBook aimed to help marketing leaders understand the best practices around choosing a B2B contact data provider.

Improving Data Quality With an Efficient Data Labeling Process


A key principle behind data preparation that data scientists regularly hammer home is that of garbage in, garbage out — if your data is flawed going into a machine learning process, you are bound to receive flawed results, algorithms, and worse, business decisions.

Balance Data Quality with Data Agility!


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.

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 and Chicken Little Syndrome

Jim Harris

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 Conversations Over Coffee with Matthew Bernath


Data & Coffee - Two Things That Demand The Highest Quality. Data and Analytics Data Quality Training Online

How to Overcome the Pain Points of Your CRM

When used effectively, a CRM can be the life blood of your sales team – keeping everyone organized, efficient, and at peak productivity. However, as a company, sales stack, and database grow, it becomes difficult to uphold structure and governance to keep a CRM up-to-date. The result? Less organization, more confusion, and fewer deals closed. Leveraging leading industry research from industry analysts, this eBook explores how your sales team can gain back valuable time.

Data quality: The key to building a modern and cost-effective data warehouse

IBM Big Data Hub

Turning raw data into improved business performance is a multilayered problem, but it doesn’t have to be complicated. To make things simpler, let’s start at the end and work backwards. Ultimately, the goal is to make better decisions during the execution of a business process.

How DataOps enabled Standard Bank to gain data quality and agility during changing market conditions

IBM Big Data Hub

Follow @IBMAnalytics. DataOps journey

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.

Video: Data Conversations Over Coffee with Maciej Kaliszka (DQT)


In episode 6 of Data Conversations Over Coffee we talk to Maciej Kaliszka about building a fully accredited Data University! Data and Analytics Data Quality Training Online

Forrester Research Report: How Sales and Marketing Intelligence Drive Improved Business Outcomes

In 2019, DiscoverOrg commissioned Forrester Consulting to evaluate sales and marketing intelligence practices in the B2B space. The primary takeaway? Forrester found only 1.2% of companies achieved a score indicating maturity in data management practices. However, organizations are fighting back - and winning.

Video: Data Conversations Over Coffee with Caroline Carruthers (DQT)


In episode 5 we talk to the co-author of two data focused books - Caroline Carruthers of Carruthers & Jackson. Data Quality Training Online

Video: Data Conversations Over Coffee with Ben Jones (DQT)


This is episode 3 of Data Conversations Over Coffee and we're speaking to Ben Jones. Data and Analytics Data Quality Training Online

Video: Data Conversations Over Coffee with Alex MacPhail


In episode 7 of Data Conversations Over Coffee we talk to Alex MacPhail who is a pilot and keynote speaker on leading high performing teams. Data and Analytics Data Quality Training Online DataCon Africa Live

How in-line address data quality delivers business ready data for AI initiatives

IBM Big Data Hub

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

A Guide to Better Data Quality

Without high quality data that we can rely on, we cannot trust our data or launch powerful projects like personalization. In this white paper by Snowplow, you'll learn how to identify data quality problems and discover techniques for capturing complete, accurate data.

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.

How to Convince Stakeholders That Data Governance is Necessary


You may already have a formal Data Governance program in place. Or … you are presently going through the process of trying to convince your Senior Leadership or stakeholders that a formal Data Governance program is necessary.

Video: Data Conversations Over Coffee with Abboud Ghanem (DQT)


We've been working together in the data analytics community across the Middle East & Africa for the past 3 years and have formed a strong friendship over that time. Data and Analytics Data Quality Training Online

Make An Impact: Hidden Reasons Why Your Data Analysis Has No Value


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.

All in the Data: Data Governance Made Easy


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 is Risky Business: The Data Crisis Unmasked


As I am writing this, countries around the world are fighting a global pandemic. This is the first global pandemic of the modern information age. There have been a number of epidemics in recent years, such as Ebola, but they (thankfully) have been regional in nature.

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


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).

Practical Points from the DGPO: Things to Know About Stewardship


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.

Make An Impact: The Time is Now to Become a Data Leader


Data Columns Data Education Data Management Columns Data Management News, Articles, & Education Data Quality Columns Data Quality News, Articles, & Education Data Strategy Columns Data Strategy News, Articles, & Education Data Topics algmin COVID-19 data governance data leadership

Steps to an Effective Data Governance Structure


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 Modeling and Database Design


Data modeling and database design is an in-demand career path, and database design is a crucial skill set that experienced DBAs must possess.

Truth in Data – Buyer Beware


To paraphrase a classic movie, Network, “I am as mad as hell and I am not going to take this anymore!” I am wondering if you are too. The news seems to be discouraging, or at least that’s what the cable news programs want you to believe. And when it comes down to it, there […].

Data Management 20/20: Data Governance Challenges in a Digital Society


The reversal from information scarcity to information abundance and the shift from the primacy of entities to the primacy of interactions has resulted in an increased burden for the data involved in those interactions to be trustworthy.

Data Cleansing Vs. Data Enrichment – What is the Difference?


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 Starvation and Your Data Metabolism


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.