When facing the challenge to reduce the cost of data transformation mapping in e-business integration, you might want to consider the method of sharing reusable base maps. In Part 1 of the Mapping Strategies for e-Business Integration webcast, your host, Jim O’Leary, explains the value of cloud-based pattern sharing by shifting the focus of reuse from base maps to mapping patterns and supplementing pattern-driven mapping with other automated methods.
Learn new ways to help reduce mapping costs by up to 90%: Launch the Webcast >>
Want to know more? Download a free companion white paper that outlines this new e-business mapping strategy.
I’ve written elsewhere about how important data transformation mapping is to all kinds of e-business integration, and how mapping dominates integration lifecycle costs, overall. Mapping is fundamental to Business-to-Business (B2B) integration (e.g., using EDI), application integration, data integration, and many cloud application and service integration cases, as well.
Although drag-and-drop mapping is a data transformation mapping mainstay, assisted (“automated”) mapping, map reuse, and other strategies can be far more efficient and cost-effective, under the right circumstances. But IT professionals and project leaders seeking more efficient ways to create and maintain transformation maps face a conundrum – no single mapping strategy works in all cases. Read more…
Many IT professionals believe that data transformation and mapping are “solved problems”. After all, mapping tools have been around for over 20 years, and thousands of IT organizations use them in integration projects every day. “If it ain’t broke, don’t fix it”, right?
What belies that attitude are the missed integration project deadlines, runtime exceptions, customer chargebacks, vendor scorecard deductions and other business problems that can be traced to data transformation mapping practices. Mapping is also the single most costly integration activity, accounting for up to 75% of some integration project costs. Yet few project teams focus attention on ways to improve mapping efficiency and accuracy. Read more…
I recently sat down to interview Nahid Jilovec on the subject of her recent white paper, “Replacing Legacy EDI Systems“. In this brief (less than 15 minute) podcast, Nahid reviews the business drivers and technical advances that are motivating companies to extend or replace their aging EDI infrastructures. She also identifies the main implementation strategies available, summarizes the advantages and disadvantages of legacy replacement, and makes a strong case for strategic consideration of future business integration needs.
If you haven’t yet read Nahid’s paper, or are looking for a condensed overview of this topic that you can send to a colleague, click here to listen, or right-click on the link to download this informative interview to your MP3 player.
And if you’d like to suggest a business integration topic for a future EXTOL podcast, just reply to this post or drop us a line at firstname.lastname@example.org.
Business visibility has become one of the pillars of modern business management. After all, in order to manage something, you first need to measure it. An entire industry has emerged around business intelligence and analytics solutions that aim to make business information more accessible and “actionable”.
Business visibility is important at many organization and decision levels, and can take multiple forms. Most companies are awash in data that can be used for management and decision-making. Business integration middleware like the EXTOL Business Integrator makes it easier than ever to consolidate internal and external data (from databases, files, spreadsheets, EDI transactions, web services, and other sources) and automate data extraction, transformation, enrichment, validation, synchronization, and syndication to internal and external destinations, in forms appropriate for either human or automated consumption. Scheduling or triggering such data integration activities based on events can help make business decisions more timely and accurate. Read more…