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
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
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
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
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
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
Today Magnitude reached another major growth milestone that continues our rapid expansion in unified application data management solutions by enhancing our support for the SAP ecosystem: Magnitude acquired Every Angle Software Solutions This provider of analytics software enables users of SAP-run organizations to optimize their operational performance by empowering insightful and flexible business analytics.
From Gartner’s ‘Modern Data Management Requires a Balance Between Collecting Data and Connecting to Data:’ Data and analytics leaders need to take an aggressive approach that creates an appropriate balance between data collection and data connection.
As the value of data as a core asset to digital business is now widely accepted, the most immediate reaction is attempting to collect it as if that was the key to delivering business value. The very popular data lake trend, for example, puts the collection process at the center. But collecting data doesn’t necessarily deliver business value, and collecting data may not even be possible.
Companies across industries are paying attention to Robotics Process Automation (RPA) for its ability to streamline and simplify routine business processes, and at lower cost than other options. Before beginning your RPA journey, every SAP user should prepare using this checklist: Read more
With 91% of surveyed SAP customers having non-SAP data sources, third-party data integration remains a hot-button issue.
If you have third-party data to integrate with SAP Central, note that we’ve just released a must-watch video on Magnitude SourceConnect for SAP. It’s for anyone considering an implementation of SAP Central Finance – especially if you want to streamline that implementation.