Corinium

JANUARY 13, 2020

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

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DataFloq

JULY 17, 2020

This article was first posted on Towards Data Science.One of our customers recently posed this question:“I would like to set up an OKR for ourselves [the data team] around data availability. As someone who is obsessed with data availability— yeah, you read that right: instead of sheep, I dream about null values and data freshness these days — this is a dream come true.Why does this matter?If Big Data Strategy

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DataFloq

JULY 23, 2020

Data quality is top of mind for every data professional — and for good reason. Bad data costs companies valuable time, resources, and most of all, revenue. So why are so many of us struggling with trusting our data? The data landscape is constantly evolving, creating new opportunities for richer insights at every turn. Not surprisingly, one of the most common questions customers ask me is “what data tools do you recommend?”. Big Data Strategy

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Corinium

APRIL 29, 2020

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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Data Quality Data Analytics Analytics 150

Advertiser: ZoomInfo

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.

ROI

DataFloq

MAY 26, 2020

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. In fact, most merger and acquisition plans fail miserably because of data integration challenges.Save yourself the devastating cost of a failed merger. Most companies focus on data quality as a.

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DataFloq

APRIL 24, 2020

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. Just as how a house built on a weak foundation will collapse, an insurance company that uses poor quality data cannot be expected to be successful. Let’s find out how data quality can make or break your insurance business. 4 Ways poor data quality affect the insurance industry?Well, Big Data

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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. Which led me to wonder, why do we persist in calling change management initiatives “change management” if people don’t like change. In my experience, I have not found this maxim to be true.

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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

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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. Outside extensions open new doors to increase Tableau data quality and build better dashboards. Writebacks, analytic tools to measure user engagement, and self-service tools all help increase Tableau data quality, improving dashboards.

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Andrew White

AUGUST 26, 2020

I spoke to a client recently who had this question: “I need help to develop a survey to ask our employees around the company how they regard the various subjective metrics tied to data quality.” What was the point of the data quality work?

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Data Quality Measurement Metrics Data Governance 52

Advertiser: ZoomInfo

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.

Marketing

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. So why don’t you? The good news is: Your […].

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Data Quality Marketing Data Governance Management 40

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.

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Data Quality Management 68

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.

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Data Quality Measurement 54

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

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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? This blog post is an hommage to not only the film, but also to the critically important role into which data quality is cast within all of your enterprise information initiatives, including business intelligence, master data management, and data governance. Data Silos. Data Profiling. “I Data Qualit

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Advertiser: ZoomInfo

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.

Sales

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. Consider the standard, restrictive concept of carefully gathering every piece of data, setting boundaries and giving requirements to IT or a data scientist and then waiting days or weeks to get a report. Sometimes we are so focused on perfection that we do not see the benefit of agility.

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Data Quality Data-driven Visualization Reporting 40

Dataiku

APRIL 16, 2020

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.

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Data Quality Machine Learning 54

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.

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Data Quality Data Governance ROI Data Architecture 54

IBM Big Data Hub

JUNE 23, 2020

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. This can be as simple as not making a customer repeat their address after a hand-off in a call center, or as complex as re-planning an entire network of flights in response to a storm

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Data Quality Data Warehouse IT 64

Advertiser: ZoomInfo

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.

Sales

IBM Big Data Hub

JULY 6, 2020

Follow @IBMAnalytics. DataOps journey

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Data Quality Marketing 51

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

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Data Quality IT 62

Corinium

APRIL 30, 2020

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

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Data Quality Analytics 163

Dataiku

OCTOBER 8, 2020

Data needs to be valuable (high quality, labeled, and organized) to drive machine learning model success. This infographic reveals some of the challenges data leaders face when it comes to data quality as well as a specific focus on the need for data labeling through active learning.

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Data Quality Machine Learning Modeling IT 61

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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 Quality

Corinium

MAY 15, 2020

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

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Data Quality Analytics 150

Corinium

MAY 14, 2020

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

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Data Quality 150

Corinium

MAY 14, 2020

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

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Data Quality Analytics 150

Corinium

MAY 21, 2020

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

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Data Quality Analytics 150

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. Big Data Data Quality Master Data Management Data Governance Data Management Informatica data lakes Informatica World Data Storage

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TDAN

JUNE 30, 2020

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. Maybe you are going through the process of convincing the stakeholders that Data […]. Then again, perhaps you don’t.

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Corinium

MAY 14, 2020

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 OnlineIn episode 4 Abboud shares how coffee takes him on a journey, his passion for analytics & the need to bring humanity to leadership during a crisis. Every now and then you meet someone you just gel with. Abboud is one of those people for me.

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Data Analytics Data Quality Analytics 150

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).

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TDAN

OCTOBER 6, 2020

What happens when people who should be accountable for producing quality data as part of their job make it clear that they want nothing to do with producing data? What happens when the data they should produce is important in improving […].

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Data Quality IT Data Governance Metadata 52

TDAN

SEPTEMBER 15, 2020

Digital media is growing more and more complex by the day, and as a result, so is the data generated and harvested around the world.

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Management Marketing Data Quality Data Strategy 52

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. It would be too easy to say that the reason organizations fail to fully capitalize on this […].

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TDAN

AUGUST 4, 2020

Welcome to DAMA Corner, a source of information for data management professionals here in TDAN.com the industry leading publication for people interested in learning about data administration and data management disciplines and best practices.

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Data Quality Data Strategy Management Data Governance 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 Management requires that the organization care for data as an asset. Managing data as an asset sounds pretty complicated. Data Governance involves […].

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Data Governance Data Quality Business Intelligence Management 53

TDAN

MAY 5, 2020

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. If service and results are substandard or wrong, the reputation of the company can more quickly than ever […].

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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. How do business leaders prevent data errors and ensure quality governance?

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