The 9 biggest BI challenges in postmodern ERP era

A recent Gartner report, 2018 Strategic Roadmap for Postmodern ERP, describes how today’s organizations tend to focus on monolithic, vendor-first Enterprise Resource Planning (ERP) strategies that do not support their digital business initiatives. The report further recommends a postmodern ERP strategy that includes the integration of differentiated and innovative capabilities that are beyond the core strengths of the common ERP platforms. Read more

Magnitude and a Postmodern ERP World

Magnitude was founded on a base of strong ERP knowledge (Noetix), acquired more (Datalytics Technologies),  and has recently been accelerating investment in the SAP ecosystem (SourceConnect product)  and the purchase of Innowera  and Every Angle. With that in mind, I finally got around to reading the Gartner report 2018 Strategic Roadmap for Postmodern ERP by Paul Saunders, Denise Ganly, and Mike Guay. This report states that organizations tend to focus on monolithic, vendor-first ERP strategies that do not support digital business initiatives and recommends a postmodern ERP strategy that includes the integration of differentiated and innovative capabilities that are beyond the core strengths of the common ERP platforms. Read more

Q&A Donal Farmer

Q&A with TreeHive Strategy’s Donald Farmer: How Magnitude is closing the gap on data connectivity

At this year’s Strata Data Conference, Magnitude unveiled its breakthrough data connectivity solution, Magnitude Gateway  with customers and partners. We caught up with data analytics thought leader and TreeHive Strategy principal, Donald Farmer on his perspective on data connectivity and Magnitude’s new offering. Read more

Kalido-Heritage Products and Magnitude Software

I’ve worked with the Kalido heritage products since the late nineties. Sometimes I’m asked how being part of Magnitude has helped our products like Magnitude DIW and Magnitude MDM. One of the first examples was using the Noetix METL connectors to automatically build the semantic layer for some of the business intelligence tools. We used to use another method to do this that we had to pay extra for and didn’t fully control. If a customer asked us to change something, we had to raise the issue with the provider we used and then were at the mercy of their schedule to implement it (and in the worst case, sometimes denied the request). Fast forward to using METL, we now control the end to end process and could take advantage of other BI tools that METL supports in the future. Read more

The Data Connectivity Imperative for Business Users and ISVs

Businesses are creating data at an explosive rate. Accessing that data from countless sources – in the cloud, on premises, from IoT devices and apps – or via hybrid environments in and of itself, is difficult at best. And the ease of putting that data to good use within popular business applications is practically impossible. Both these challenges require reliable and efficient data connectivity … a struggle for almost every organization. In part, and quite frankly, this is due to the fact that managing connectivity solutions takes useful resources away from other business, IT and product development requirements. Read more

Three Ways to Power Your Commerce Site with Dynamic Content

Keeping your content up to date is table stakes for delivering a good customer experience for any commerce business. As such, leading brands rely on dynamic content to power their commerce sites to deliver pages to users. Without it, they would need to dedicate enormous resources to pre-generate all of their unique content.

Today, the ability to integrate dynamic content into your website can be easily achieved, whether you’re a small business or a global commerce brand. Using dynamic content in Agility means you can be confident that your copy is right whenever it’s published. Read more

Wide or Deep? MDM vs. PIM

Some of the most frequently asked questions we hear from our customers are:

  • Why do I need another MDM application?
  • What are the differences between MDM and PIM?
  • Do I really need an MDM and a PIM solution?

In many ways, these questions are based upon a faulty assumption, namely that product data management (PIM) and Master Data Management (MDM) are the same thing. While are closely related, but they are most certainly not the same – at least if you subscribe to our definitions of PIM and MDM.  In our view MDM has several goals: Read more

Top 10 Disconnects Encountered During Complex Integration Projects and How to Avoid Them

In our recent blog post, Connecting, Collecting and Understanding Data, we discussed the importance of semantic integration and focusing on the business view of data to help ensure key information isn’t lost during project development.

Too often, “disconnects” between IT and the business can delay or derail a master data management or data warehouse project, and/or cause significant cost overruns. The Magnitude Business Information Modeler tool (BIM) promotes semantic integration because it models the way data is consumed by the business, not the way it is stored. In this article, we will review 10 areas of disconnect these types of projects often encounter, then we will discuss how BIM, with its business information model driven approach, minimizes these disconnects and drives project development. Read more

Connecting, Collecting and Understanding Data

I read with interest a Gartner report, Modern Data Management Requires a Balance Between Collecting Data and Connecting to Data, that made the case for a bi-modal approach to connecting and collecting data. The case being made is that being able to react “at the edges” of broader data infrastructure (making decisions based on real time data displayed on a tablet, for example) requires direct connection of processes and devices, while collection of data for operations and management insight requires a central collection point and rigorous validation of data accuracy and quality. However, ALL data requires a series of integration processes that describe, organize and integrate the information. That first step, the description, includes the location, trustworthiness and meaning of the data in question. Read more

The Quest for Golden Data

It seems these days that everyone is looking for a “360-degree view” of customer, product, vendor and just about every category of information you can think of. However, getting there is not always so easy, and gets harder as organizations get larger.

Today, very few organizations have only one operational system, and many have several. It is not uncommon for us to encounter clients with 3, 4 or more ERPs, not to mention other legacy applications and data sources. As these systems grew over time they became more and more siloed, with each system focusing on a different view of data, all of which much be reconciled and combined. How do we integrate say, customer data, from 4 or 5 sources when there are no common identifiers and even things like names and addresses are inconsistent in format or spelling? Read more