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

The Data Administration Newsletter

JUNE 1, 2021

“Quality is never an accident. ” John Ruskin, prominent Victorian era social thinker Data-driven decision-making is fast becoming a critical business strategy for organizations in every sector. It is always the result of intelligent effort.”

Data Quality 52

Data Quality Data-driven Strategy Data Governance 52

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

Data Quality 195

Data Quality Data Analytics Analytics 195

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. Big Data Strategy

Measurement 209

Measurement Data Quality IT KPI 209

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

The Data Administration Newsletter

DECEMBER 1, 2020

Ensuring data quality is an important aspect of data management and these days, DBAs are increasingly being called upon to deal with the quality of the data in their database systems more than ever before. The importance of quality data cannot be overstated.

Metadata 75

Metadata Data Quality Data Governance Management 75

DataFloq

MARCH 8, 2021

Data is the most valuable asset in the digital economy. Be it nurturing existing clients or expanding into new territories, data is the foundation on which new initiatives are built and execution is reviewed against. Data Ingestion. Big Data Technical

Data Quality 199

Data Quality Machine Learning Data Analytics Marketing 199

Anmut

JULY 12, 2021

This is true for life in general, but it’s especially applicable to the data you use to power your business. Data without context is just meaningless noise, and any effort to improve or extract value from your data without considering the larger business context is doomed to fall short.?

Data Quality 52

Data Quality Measurement Metrics Dashboards 52

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

Data Quality 212

Data Quality Insurance Risk Management 212

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

Data Quality 160

Data Quality Uncertainty Data Lake Visualization 160

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.

Data Quality 215

Data Quality IT Risk Data Integration 215

Advertiser: ZoomInfo

CRM software is a powerful tool when used correctly, yet another obstacle to a sales team’s efficiency when it’s not. Leveraging research and commentary from industry analysts, this eBook explores how your sales team can get back valuable time by overcoming some pain points with your CRM, such as low adoption rates, integrations, and data quality.

Data Quality

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. Let’s find out how data quality can make or break your insurance business. Big Data

Data Quality 212

Data Quality Insurance IT Big Data 212

Dataiku

APRIL 19, 2021

Only 8% of CDOs are content with the quality of data at their disposal. Data needs to be valuable, thus of high quality , to drive machine learning model success.

Data Quality 56

Data Quality Machine Learning Modeling Management 56

ScienceSoft

APRIL 13, 2021

No more wrong data analysis caused by bad data! Be armed with our new blog post on data quality assurance in the context of CRM

Data Quality 71

Data Quality 71

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

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.

Data Quality 168

Data Quality Risk Management Technology 168

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

Jim Harris

APRIL 20, 2021

OCDQ Radio is an audio podcast about data quality and its related disciplines, produced and hosted by Jim Harris. Why does no one care about poor data quality? tolerance for poor data quality). Data Quality Podcasts OCDQ Radio

Data Quality 52

Data Quality Data Processing Data Governance Metrics 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 86

Data Quality Management 86

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.

Data Quality 81

Data Quality Dashboards Visualization Measurement 81

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 […].

Data Quality 40

Data Quality Marketing Data Governance Management 40

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

Ontotext

MAY 26, 2021

In much the same way, in the context of Artificial Intelligence AI systems, the Gold Standard refers to a set of data that has been manually prepared or verified and that represents “the objective truth” as closely as possible. How does the Gold Standard help data linking?

Data Quality 75

Data Quality Metadata Measurement Machine Learning 75

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?

Data Quality 52

Data Quality Metrics Measurement Data Governance 52

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 64

Data Quality Consulting Dashboards Testing 64

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 Visualization Reporting 52

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

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 53

Data Quality Measurement 53

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.

Data Quality 70

Data Quality Machine Learning 70

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

Data Quality 50

Data Quality Enterprise Data Governance Business Intelligence 50

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

Advertisement

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

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.

Data Quality 83

Data Quality Data Warehouse IT 83

Corinium

APRIL 30, 2020

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

Data Quality 212

Data Quality Analytics 212

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 81

Data Quality IT 81

IBM Big Data Hub

JULY 6, 2020

Follow @IBMAnalytics. DataOps journey

Data Quality 67

Data Quality Marketing 67

Advertisement

Companies are expected to spend nearly $23 billion annually on AI by 2024. What could go wrong? This report explores AI obstacles, like inherent bias and data quality issues, and posits solutions by building a data culture.

Reporting

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

Data Quality 195

Data Quality Analytics 195

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

Data Quality 195

Data Quality 195

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

Data Quality 195

Data Quality Analytics 195

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

Data Quality 195

Data Quality Analytics 195

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

Management 213

Management Data Integration Data Lake Data Quality 213