Customer success is our highest priority and we continue to seek feedback directly from our customers in support of the partnership that leads to that success. In October, I shared my ‘How Magnitude Drives Operational Efficiencies’ article. In this follow-up, I share another common theme that drives our long-standing relationships with customers – faster time […]
As we reflect upon 2018, it’s been a tremendous year of technology innovation and product momentum for Magnitude. We’ve invested in significant capabilities to help businesses address mission critical challenges across the enterprise data lifecycle. Read more
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
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.
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.
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
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
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
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