ScienceSoft

DECEMBER 13, 2018

Setting up data quality management seems to be a blurry task? We show what a well-organized process looks like and enumerate the required tools. These best practices will help you improve the quality of your data and, ultimately, your decisions.

Data Quality 109

Data Quality Management 109

IBM Big Data Hub

DECEMBER 12, 2018

At QueBIT, our goal is to help organizations of all sizes unlock the full potential of their data, and make analytics accessible for small- and medium-sized businesses.

Analytics 76

Analytics 76

Insight

DECEMBER 13, 2018

Five ways to support employees and strengthen your business Insight exists to provide collaborative learning spaces where Fellows do impactful work leading to thriving careers. Fellows come to Insight to learn from one another, so we must ensure that each cohort isn’t just technically skilled but also diverse, with opportunities to learn alongside people with different backgrounds and experiences.

Strategy 66

Strategy Scorecard Measurement Data Science 66

Jen Stirrup

DECEMBER 14, 2018

December is a great time for setting personal and business goals for next year. I’d hoped for some downtime at this time of year, but I’ve picked up a crucial data science project which needs to be delivered over Christmas so there isn’t much downtime. I’m also starting to write another book, which will be my fourth published book, and that will require focus.

Consulting 56

Consulting Business Intelligence Data Science Marketing 56

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Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

Business Intelligence

Tim Mitchell

DECEMBER 14, 2018

When extracting data from a flat file, it is handy to have the name of the file from which the data was retrieved. Whether you capture this information for auditing purposes, or you include it directly in the output table, the odds are good that you’ll want to have that filename for use later in the process. You could do. The post Extract the File Name in SSIS Data Flows using the FileNameColumnName Property appeared first on Tim Mitchell.

IT 45

IT 45

Cloudera

DECEMBER 12, 2018

Hi Greg, thank you for joining us today. I would like to start off by asking you to tell us about your background and what kicked off your 20-year career in relational database technology? Greg Rahn: I first got introduced to SQL relational database systems while I was in undergrad. I was a student system administrator for the campus computing group and at that time they were migrating the campus phone book to a new tool, new to me, known as Oracle.

Data Warehouse 42

Data Warehouse Marketing Big Data Data Lake 42

Decision Management Solutions

DECEMBER 12, 2018

Bill Franks, Tom Davenport and Bob Morison of the International Institute for Analytics recently published their 2019 Analytics Predictions & Priorities. They had some great predictions and suggested priorities around the ethics of analytics, the value of data and the use of AI in fraud and cybersecurity. Three predictions, however, touched on our work around Decision Management, including some of the research I have done as a faculty member for IIA such as this on Framing Requirements for

Analytics 40

Analytics Predictive Analytics Modeling Data Science 40

Nutanix

DECEMBER 13, 2018

Leading IT organizations are moving to Nutanix Enterprise Cloud which combines the agility and simplicity of the public cloud, with the security and control you need in a private cloud.

Enterprise 20

Enterprise IT 20

Cloudera

DECEMBER 14, 2018

Data may be the world’s most valuable resource , but the global big data talent shortage can hinder the ability of organizations to capitalize on that potential. Talent will be the key factor in linking innovation, competitiveness, and growth in the 21st century. Governments around the globe, grappling with high rates of unemployment, are eying programs to deliver big data skills training and certification to citizens that address both problematic unemployment and entice organizations to maintai

Big Data 40

Big Data Marketing Technology Management 40

Timo Elliott

DECEMBER 11, 2018

These are some quick answers to some common questions I get about Business Intelligence, Big Data, and Analytics: Big Data. The term has been around for quite some time. Why is it still important for innovative businesses? It’s clear that data is one of the most important assets of the future. Organizations want to optimize their end-to-end customer experience, to improve productivity, and to engage the workforce in new ways.

Big Data 109

Big Data Analytics IT Internet of Things 109

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Data-driven

erwin

DECEMBER 13, 2018

This past year witnessed a data governance awakening – or as the Wall Street Journal called it, a “global data governance reckoning.” There was tremendous data drama and resulting trauma – from Facebook to Equifax and from Yahoo to Marriott. The list goes on and on. And then, the European Union’s General Data Protection Regulation (GDPR) took effect , with many organizations scrambling to become compliant.

Data Governance 91

Data Governance IoT Internet of Things Data-driven 91

Nutanix

DECEMBER 14, 2018

This week, Forbes announced the Just 100, its list of the 100 companies that are doing right by America.

IT 20

IT 20

Smarten

DECEMBER 12, 2018

Many businesses are just discovering the benefits of self-serve business intelligence and establishing data democratization initiatives but, as every business manager and team member knows, business markets and competition move rapidly and yesterday’s business intelligence initiatives are morphing into advanced analytics efforts. As businesses consider the transition, it is important to understand the advantages of advanced analytics.

Analytics 40

Analytics Business Intelligence Data mining Predictive Modeling 40