Data Dredging Reports

Data is pure gold in the right hands
sponsored by TechTarget ComputerWeekly.com
EGUIDE: Applying technology like machine learning to transaction data could significantly increase the proportion of money laundering activity that is detected. It is projects like this that are driving demand for data science skills. In this e-guide, read about the power of data against money laundering, and how to get the skills to turn data into gold.
Posted: 08 Feb 2021 | Published: 13 Nov 2019

TechTarget ComputerWeekly.com

University Simplifies Business Intelligence, Saving 20 Hours a Week
sponsored by Dell Software
CASE STUDY: Kennaw State University needed faster, easier data access, analysis and reporting. See how they transformed HR processes to eliminate errors, saved hundreds of hours annually on HRMS, benefits and payroll services, and how they leveraged self-service business intelligence to non-technical users.
Posted: 07 Feb 2014 | Published: 31 Oct 2013

Dell Software

Hadoop for Big Data: Unlock Business Critical Insights with Agility
sponsored by Dell, Inc. and Intel®
WHITE PAPER: This resource introduces Hadoop strategies that can address the requirements of big data – allowing your organization to optimize performance for deep data mining and analytical power.
Posted: 22 Jan 2014 | Published: 31 Dec 2013

Dell, Inc. and Intel®

Data is pure gold in the right hands
sponsored by TechTarget ComputerWeekly.com
EGUIDE: Applying technology like machine learning to transaction data could significantly increase the proportion of money laundering activity that is detected. It is projects like this that are driving demand for data science skills. In this e-guide, read about the power of data against money laundering, and how to get the skills to turn data into gold.
Posted: 28 Aug 2020 | Published: 28 Aug 2020

TechTarget ComputerWeekly.com

Mining Gold from Gigabytes August 2016 Business Information
sponsored by TechTarget Data Management
EZINE: For companies tapping into mountains of amassed data, enterprise business analytics breathes new life into the old axiom "There's gold in them thar hills."
Posted: 04 Aug 2016 | Published: 04 Aug 2016

TechTarget Data Management

The Big Data Surge: Data Modeling Challenges & Best Practices for Prepping Big Data Apps for Production
sponsored by IBM
EGUIDE: Surging big data is changing data modeling techniques and app development cycles. Read on to discover what you should expect from big data's near-future and best practices when it comes to transitioning big data applications into the production stage.
Posted: 27 Jul 2016 | Published: 26 Jul 2016

IBM

Advanced Analytics Tools Help Users Find Meaning in Big Data
sponsored by IBM
EBOOK: In this expert e-book, find out why in a recent TechTarget survey, predictive analytics was the top choice for planned BI and analytics investments, and how adoption of Hadoop has already allowed major companies to take the next step in big data management.
Posted: 21 Sep 2016 | Published: 19 Sep 2016

IBM

CW Europe – August Edition
sponsored by TechTarget ComputerWeekly.com
EZINE: The hype around data mining may have receded, but it remains a critical discipline for the data scientist. This issue of CW Europe looks at what exactly data mining is, how and when it is used – and why it should not be mistaken for business analytics.
Posted: 07 Aug 2014 | Published: 07 Aug 2014

TechTarget ComputerWeekly.com

Is Your Big Data Solution Production-Ready?
sponsored by CenturyLink Technology Solutions
WHITE PAPER: This resource evaluates the adoption of enterprise-wide, production-ready big data tools using market data from Forrester Research and a custom study from CenturyLink Technology Solutions.
Posted: 28 Feb 2014 | Published: 31 Jan 2014

CenturyLink Technology Solutions

Case Study: IBM helps transform workload management and global system access
sponsored by IBM
CASE STUDY: In this case study, learn how IBM zEnterprise System with IBM DB2 for z/OS sped report generation by 70% for Swiss Re.
Posted: 24 Mar 2014 | Published: 19 Mar 2012

IBM