Data Content Quality Reports

MicroScope – November 2022: Elevate security to minimise risk
sponsored by MicroScope
EZINE: Security remains a major concern for customers and a continuing area of growth for the channel – so what can managed service providers do to help out? Also read about expectations for the last quarter of 2022 and how partnerships are key to digital transformation.
Posted: 03 Nov 2022 | Published: 04 Nov 2022

MicroScope

Fail to prepare quality data, prepare to fail
sponsored by TechTarget ComputerWeekly.com
EGUIDE: Fail to prepare, prepare to fail is an adage that never fails to lose its veracity. The same is true of using poor quality data, known to be the bane of the lives of data analysts, not to speak of organisations that yearn to be "data driven".
Posted: 29 Dec 2022 | Published: 29 Dec 2022

TechTarget ComputerWeekly.com

How Calvin Klein got fashionable with SAP
sponsored by Every Angle
CASE STUDY: Calvin Klein, one of the world's leading fashion brands, had to transfer all of their transactional and master data from a non-SAP system to the SAP platform, without losing any information or compromising data and process quality. To do this, Calvin Klein leveraged an out-of-the-box SAP add-on for data migration.
Posted: 04 Apr 2014 | Published: 04 Apr 2014

Every Angle

Buying Big Data Analytics Tools: Insights and Use Cases
sponsored by Guavus
EGUIDE: In this exclusive guide spearheaded by big data and data governance expert David Loshin, discover must-have features and functionalities to assess how well various big data analytics tools can meet your needs. Plus, explore benefits of big data analytics tools, and business use cases.
Posted: 25 May 2018 | Published: 21 May 2018

Guavus

Integration and Governance - Why it's Important for Big Data
sponsored by IBM
VIDEO: As the volume and variety of data increases, it becomes harder to ensure trustworthiness, and placing confidence in this information becomes risker. In order to effectively leverage analytics to glean actionable insights from big data, you need to be able to trust that information -- in other words, it must be properly integrated and governed.
Posted: 26 Dec 2013 | Premiered: 20 Aug 2013

IBM

Understanding Big Data So You Can Act with Confidence
sponsored by IBM
WHITE PAPER: Ensuring your data is secure and trustworthy is paramount to harnessing the power of big data, but it's also a difficult task when you've got such a large volume and variety of information coming into the business. Unfortunately, traditional methods of governing and correcting often aren't applicable to big data -- so what can you do?
Posted: 24 Dec 2013 | Published: 31 Jul 2013

IBM

Grow Forward With Faster, Simpler, and Flexible ERP
sponsored by Sage Software
WHITE PAPER: Discover how one ERP system can help you reduce operating costs and boost sales.
Posted: 02 Jun 2014 | Published: 02 Jun 2014

Sage Software

How to unlock the true value of data
sponsored by TechTarget ComputerWeekly.com
EGUIDE: With a robust data architecture in place, a firm's data science team can turn raw data into business insight. We take a quick look at how this can be done.
Posted: 13 Feb 2020 | Published: 13 Feb 2020

TechTarget ComputerWeekly.com

Data quality emerges from Covid-19 more critical than ever
sponsored by TechTarget ComputerWeekly.com
EGUIDE: In this e-guide: The public has been drenched in data during the Covid-19 pandemic. And the issue of the quality of that data has increasingly come to the fore.
Posted: 06 Aug 2021 | Published: 06 Aug 2021

TechTarget ComputerWeekly.com

Strategies For Effective Big Data Governance And Supporting Analytics Programs
sponsored by IBM
EGUIDE: Governing large and varied sets of big data is difficult. In this expert e-guide, Dr. Anne Smith, Principal Consultant at Alabama Yankee Systems, LLC reveals 7 best practices for instituting effective policies for governing sets of big data. Plus, learn how a solid data governance plan sows the seeds for a successful self-service analytics program.
Posted: 02 Dec 2016 | Published: 02 Dec 2016

IBM