In this article: |
|
|
The major vendors of enterprise resource planning suites have been busy building, buying, or bundling new functionality so that their packages go beyond the traditional realms of finance, materials planning, and human resources. While the appeal of end-to-end solutions is strong, the short-term weaknesses are not to be dismissed lightly.
|
Supply chain management, salesforce automation, call centers, product data management, and data warehousing are increasingly becoming part of the ERP vendors’ “integrated” offerings. However, recent interviews and discussions with customers and vendors lead to a painful conclusion: It will be years before these integrated solutions achieve the best-of-breed status that the ERP vendors covet, if at all.
Let’s focus on data warehousing, where Oracle, PeopleSoft, and SAP are making big bets by either by building their own tools (Oracle and SAP) or via bundles with other vendors. SAP recently began shipping its Business Information Warehouse (BW) package of data warehousing tools, and the beta customers trotted out by the company earlier this year are happy campers. No surprise there. Companies like Colgate-Palmolive, Hercules, and Procter & Gamble either are using BW or will be soon. SAP contends that BW is more than just an add-on to its R/3 suite of ERP applications; it’s also a stand-alone product running on a separate server that will either be competitive with the best of the data warehousing products within three years, or it will be withdrawn.
|
SAP has a lot of work to do to get BW up to world-class status, though. The version demonstrated at the recent Sapphire user conference achieves less than half of the functionality of an end-to-end data warehouse, in my humble opinion. For example, while it has an online analytical processing (OLAP) engine to process information, it currently can’t deliver the answer to an inquiry that cuts across more than one cube (called a join in database circles). Furthermore, BW has around half of the mathematical formulas of a more established OLAP package, such as the SAS System from SAS Institute. And when you ask SAP officials when they will roll out datamart modules for BW, they say they’re studying the area.
Some of these limitations will be fixed soon–watch for a join capability within six months. However, it will take SAP at least two years to extend the functionality of BW to even get within 75% of that of leading players. And what of the other 25%? You’re left to rely on third parties, I’ll bet.
So what is really going on? Simple, BW merely fixes a number of the weaknesses of R/3. Specifically, it is an excellent tool to get reports out of R/3 without affecting the performance of the production system. Everybody knows that an ERP system wasn’t really built to provide decision support–a production system shouldn’t be asked to provide reports and analyses. For years R/3 users have been suffering with lousy performance and inscrutable report-writing procedures. “There’s a lot of pain with reporting at the operational level,” notes William Gilbode, a senior manager with the consulting arm of Montvale, N.J.-based KPMG Peat Marwick. He is considered the BW and data-warehousing-with-R/3 expert at the firm. “Clients want to bring in data from multiple sources,” he says.
|
|
And changing the process–telling users not to print reports–is a Sisyphean task. Many IT managers I know have implored their users to avoid printing reports, at the advice of SAP officials and their implementation partners. But that’s like asking end users to back up their own disk drives. Muttered one SAP official when describing executive reaction to the customers’ demand for extensive printing capabilities, “People still want paper, but Hasso didn’t believe [in] it.” Hasso is Hasso Plattner, co-founder and CEO of SAP and the driving force behind its software design these days.
It’s true that a data warehouse bundled by an ERP vendor will make a majority of users happy with the functionality available within a year or two. But IT must expect to continue to add and manage third-party packages to deliver all of the functionality their organizations will need.
There are a lot of loose ends in those end-to-end solutions vendors tout. //
Larry Marion is the editor of PlugIn Datamation. He has been researching and writing about manufacturing technology for more than 20 years. He can be reached at lmarion@earthweb.com |
For more information about data warehousing, go to the Palo Alto Management Group (PAMG) Web site for a useful white paper.
Huawei’s AI Update: Things Are Moving Faster Than We Think
FEATURE | By Rob Enderle,
December 04, 2020
Keeping Machine Learning Algorithms Honest in the ‘Ethics-First’ Era
ARTIFICIAL INTELLIGENCE | By Guest Author,
November 18, 2020
Key Trends in Chatbots and RPA
FEATURE | By Guest Author,
November 10, 2020
FEATURE | By Samuel Greengard,
November 05, 2020
ARTIFICIAL INTELLIGENCE | By Guest Author,
November 02, 2020
How Intel’s Work With Autonomous Cars Could Redefine General Purpose AI
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
October 29, 2020
Dell Technologies World: Weaving Together Human And Machine Interaction For AI And Robotics
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
October 23, 2020
The Super Moderator, or How IBM Project Debater Could Save Social Media
FEATURE | By Rob Enderle,
October 16, 2020
FEATURE | By Cynthia Harvey,
October 07, 2020
ARTIFICIAL INTELLIGENCE | By Guest Author,
October 05, 2020
CIOs Discuss the Promise of AI and Data Science
FEATURE | By Guest Author,
September 25, 2020
Microsoft Is Building An AI Product That Could Predict The Future
FEATURE | By Rob Enderle,
September 25, 2020
Top 10 Machine Learning Companies 2020
FEATURE | By Cynthia Harvey,
September 22, 2020
NVIDIA and ARM: Massively Changing The AI Landscape
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
September 18, 2020
Continuous Intelligence: Expert Discussion [Video and Podcast]
ARTIFICIAL INTELLIGENCE | By James Maguire,
September 14, 2020
Artificial Intelligence: Governance and Ethics [Video]
ARTIFICIAL INTELLIGENCE | By James Maguire,
September 13, 2020
IBM Watson At The US Open: Showcasing The Power Of A Mature Enterprise-Class AI
FEATURE | By Rob Enderle,
September 11, 2020
Artificial Intelligence: Perception vs. Reality
FEATURE | By James Maguire,
September 09, 2020
Anticipating The Coming Wave Of AI Enhanced PCs
FEATURE | By Rob Enderle,
September 05, 2020
The Critical Nature Of IBM’s NLP (Natural Language Processing) Effort
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
August 14, 2020
Datamation is the leading industry resource for B2B data professionals and technology buyers. Datamation's focus is on providing insight into the latest trends and innovation in AI, data security, big data, and more, along with in-depth product recommendations and comparisons. More than 1.7M users gain insight and guidance from Datamation every year.
Advertise with TechnologyAdvice on Datamation and our other data and technology-focused platforms.
Advertise with Us
Property of TechnologyAdvice.
© 2025 TechnologyAdvice. All Rights Reserved
Advertiser Disclosure: Some of the products that appear on this
site are from companies from which TechnologyAdvice receives
compensation. This compensation may impact how and where products
appear on this site including, for example, the order in which
they appear. TechnologyAdvice does not include all companies
or all types of products available in the marketplace.