How well do you know your JD Edwards data?

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Getting to know your JD Edwards data

Trying to get a comprehensive and accurate picture of your JD Edwards data is a bit like attempting to complete a jigsaw puzzle without being able to turn over the pieces to see their individual colors and how they relate to each other. It takes ages and the results are probably wrong!

This blog covers the 3 challenges you face when trying to get to know and utilize your JD Edwards data. It will also show you how you can use Safyr to overcome those challenges and get more from your JD Edwards data.

  1. Where can you find out where the JD Edwards data you need is located?
  2. How do you find the data that really matters for your project?
  3. How do you use that information in other tools to support your project?

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Are you still asking your BASIS teams for information about SAP tables and fields?

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How do you find relevant SAP tables for your data management projects?

We talk to a good number of SAP customers, many of whom are struggling to find the right SAP tables, programs or other components for their enterprise data warehouse, data catalog, data governance, data migration and other initiatives. The same problem reoccurs with each new project and often causes budget overrun, delays and more worryingly a lack of trust in the data by the business.

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How you can find personal data fields in an SAP system for CCPA and GDPR

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Why finding metadata for personal data in ERP and CRM systems for CCPA and GDPR is hard.

The State of California’s California Consumer Privacy Act and EU General Data Protection Regulation, usually referred to as CCPA and GDPR, together with regulations imposed by other governments and states,  have placed more responsibility on organisations for managing and releasing the personal data and information they hold about individuals. (This is an edited and updated version of a blog first posted in 2018).

Depending on the regulation these data items can refer to customers, employees, citizens, business partners etc. As time goes on more and more countries or individual states will implement similar regulations on companies operating under their jurisdiction.

One of the prerequisites for being able to identify and manage personal data is to know where it resides across your organisation’s IT systems. In order to do this it is critical to be able understand the metadata in these systems. In many cases they will give up the metadata relevant to personal data relatively easily.

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Who looks after the data assets in your company?

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What corporate assets do you have?

In the context of this article I am not referring to those on the balance sheet such as equipment, stock, debtors and perhaps buildings but more about those which are commonly referred to as critical assets in enabling you to achieve your targets and goals. In addition to your people, customers, brand value there is one further resource that many organisations are increasingly focussed on – your data assets.

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Gartner Metadata Management

Safyr and Gartner metadata management magic quadrant leaders

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When I was reading the most recent Gartner Magic Quadrant for Metadata Management Solutions, I noticed that Silwood Technology have a relationship, either commercial or technical or both, with 9 out of the 12 vendors in the Leader’s quadrant. We also work with vendors in other quadrants.

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PeopleSoft Pension Processing – the metadata challenges

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Safyr for PeopleSoft Pension Processing

As you may know, Safyr® extracts metadata from a range of application packages including PeopleSoft which has many related modules including PeopleSoft Pension Processing.

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AI projects have familiar data challenges

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Artificial intelligence data challenges

In a recent interview with The Wall Street Journal Arvind Krishna, IBM’s senior vice president of cloud and cognitive software, said “data-related challenges are a top reason IBM clients have halted or cancelled artificial-intelligence (AI) projects.”

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5 reasons why your data teams struggle with SAP, and what you can do about it

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The challenge of SAP metadata

Like most companies who have been required to incorporate SAP data into Information or Data Management projects, I am sure you have also experienced the delays, high costs and even data inaccuracies which often occur when trying to work with the intricacies of SAP metadata.

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Mind The Gap – metadata for data transformation

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Metadata: the foundation of data transformation

If you have ever travelled on the London Underground you may have heard the phrase “Mind The Gap” being announced on certain stations, or perhaps you’ve seen the sign on the platform edge.

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Using metadata to solve the problem of your ERP and CRM data silos

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Introduction

You have probably noticed how much attention is being placed in your enterprise to optimise the use of, or “monetise”, the data that flows through your organisation’s IT systems.

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