Dangers of Data Visualization Analysis

As a follow up to my ‘How to Avoid the Pitfalls of Data Analysis’ article, I’ll examine the dangers of data visualization analysis in this post.

As companies strive to gain greater insights across every aspect of their business, we’re seeing a growing demand for data visualization tools – particularly among business and non-technical users – for accessing and analyzing data. Today, there are various data visualization tools in the form of dashboards and scorecards being used on top of current BI applications or other operational systems, such as enterprise resource planning (ERP). Read more

Achieving Data Accuracy in the Automation Era

From machine learning and artificial intelligence (AI) to robotics, more and more companies are embracing automation to drive process improvements across their business. Unfortunately, they’re falling short of achieving that result. The leading factor holding them back is data accuracy.

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magnitude customers speak out on ROI

How Magnitude helps businesses drive operational efficiencies: Here’s what customers are saying …

Today’s digital enterprises face enormous application and data challenges. In an increasingly fragmented data environment, they’re grappling with scale complexity as the velocity, volume, and variety of data continue to rise, including unstructured and structured sources – and a growing need to operate in real-time.

Reporting on Oracle Cloud Applications with EBS

The first post in this series discussed the 9 biggest BI challenges in postmodern ERP era. This post discusses Magnitude’s approach to address Oracle E-Business Suite (EBS) customers who are increasingly adopting Oracle ERP Cloud applications (OCA). Read more

The Imperative for Managed Services in this Data-driven Era

We’ve all heard the saying “data is the new oil!”  In today’s data-driven economy, managing application data effectively is now table stakes for any agile-minded business. But in reality – even with a team of data experts on staff – most companies struggle to keep up with the scale and pace of data creation across the myriad of ERPs, cloud, on-premises and hybrid systems. Read more

Master Data Management MDM 10 SP1 Released!

With the release of Magnitude MDM 10 SP1 on October 4, 2018, we have completely rearchitected the way we manage and process data.  What does this mean to the user?  Read on…. Read more

Product information modeling concepts and techniques

Turn Information into Knowledge – Business Information Modeling Concepts and Techniques

Applying a model-driven approach to data management is key for meeting the speed to market and flexibility needs of today’s businesses.

Rather than requiring a complete model of the entire enterprise-wide set of requirements before deploying the warehouse, Magnitude’s Business Information Modeler (BIM) allows you to start small, iterate, and deploy in increments. Read more

7-reasons-why-PIM

7 Reasons Why PIM Should be the Next Step in Your Digital Commerce Journey

Aggregating and managing all product data is cornerstone for any digital commerce strategy. In the many years since we saw a need to better manage product information and developed the first version of the Agility software, PIM has become a critical technology investment for both IT and business executives. A solid PIM solution helps you to dramatically improve data quality and govern data access and usage. It enables portfolio expansion as your business grows. And, effective product information management provides the flexibility to respond to changing market conditions. Read more

5 Common Myths about Product Information Management PIM

The science of managing information about products has existed for decades, although, Product Information Management (PIM) is a relatively new branch of Data Management. Historically, the solutions required to manage product content have been complex, since that data has multiple touch-points and affects the 3 pillars – People, Process and Technology. With a shift in the industry to promote business-focused, data-driven organizations, PIM was invented with a purpose to ease the collection, management and syndication of data, in a simple, easy and concise manner. However, there are still some myths from its past. Read more

How to fix bad data: The benefits of MDM and DWA

Running your business and analyzing results with accurate and consistent data is mission critical, yet most organizations struggle with bad data. An IBM study estimates that $3.1 Trillion of America’s GDP is lost due to bad data and 1 in 3 business leaders don’t trust their own data.