Data warehousing applications News
June 26, 2017
SAP Business Planning and Consolidation for BW/4HANA aims to simplify and consolidate enterprise financial planning; Business ByDesign's cloud ERP looks to the public sector.
April 21, 2017
Updates this week to Redshift and DynamoDB, plus AWS CodeStar, a service for CI/CD workloads, aim to streamline use of several Amazon services.
February 24, 2017
New AWS database migration capabilities simplify data lake transfers to Redshift from Oracle and Teradata, but it still doesn't solve the biggest obstacles to move databases to the cloud.
September 06, 2016
SAP releases BW/4HANA data warehousing software for HANA; Forrester report shows high ROI for SAP Jam collaboration platform.
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With several deployment options and product choices, it's difficult to know where to start. This buyer's guide helps you choose the right data warehouse product for your company. Continue Reading
NetWeaver Process Integration is a powerful tool for linking systems, software and business processes. Here are five tips for using it well. Continue Reading
Big data and cloud computing have transformed today's data management technology market. Whether it's by augmenting traditional data warehousing models, allowing small organizations to realize the power of business intelligence (BI), or helping healthcare providers tackle vast stores of electronic health data, these developments are causing customers to rethink the role of data in their organizations.
In this three-part guide, we examine where your channel business may fit into the areas of data warehousing and BI. First, we look at opportunities coming out of the confluence of big data software and traditional data warehousing systems. Next, we explore how cloud technology has reshaped the BI market in both good and bad ways -- good in that it has made BI more accessible for small and medium-sized businesses; bad in that it has eroded project margins. Finally, we focus in on data management technology in the healthcare vertical, where a demand for data warehouses has created significant hosting opportunities.Continue Reading
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In-depth research is needed to understand the numerous ERP components, functions and deployment options. Here are the ins and outs of implementing ERP systems. Continue Reading
Predictions are very difficult, especially when they're about the future. Whether attributed in part or whole to Nobel physicist Niels Bohr or Hall of Fame catcher Yogi Berra, at no time was that prescient observation more applicable than in predicting the outcome of the 2016 presidential election.
The cover story of Business Information's February issue examines some of the hard lessons that, in retrospect, need to be applied when it comes to building and running predictive analytics models, be it in the political realm or the business world. Those lessons include working with high-quality data, measuring the right information, and making sure predictive models reflect reality and not wishful thinking.
In another feature, we look at a critical first step in ensuring that predictive analytics models yield valid outcomes. The proper preparation of data -- a process made more complex with the proliferation of big data and the expansion of predictive analytics applications to leverage it -- requires new tools and techniques.
Also in this issue, learn how the self-proclaimed "CRM and analytics czar" of pro basketball's Charlotte Hornets convinced team ownership to invest in Phizzle FanTracker, which helped combine millions of fan records into accurate, up-to-date, individual fan profiles.Continue Reading
Data replication ensures resources are consistently available; replicating data to a separate repository further accelerates recovery. AWS provides these data repository options. Continue Reading
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Experts give their take on when S/4HANA will have all the ERP functions needed to replace Business Suite -- and why the real issues driving upgrades may lie elsewhere. Continue Reading
Cloud services have become a popular cost-saving option for businesses, but they must be careful to protect against constantly evolving data risk. Continue Reading
Operations and big data analytics applications are beginning to blend, causing changes in data strategies, Mark Madsen tells a TDWI Boston Chapter meeting. This is part two of two. Continue Reading
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When Swisscom needed to merge two SAP ERP systems and several SAP BW data warehouses, it upgraded to one SAP BW on HANA system to reduce data from 5 TB to 1 TB. Continue Reading
More data, more problems? Find out why that's not the case in healthcare when providers take the right approach to enterprise data warehousing. Continue Reading
There's no one way to go about data warehousing, explains data expert Ethan Jewett. Here's what you need to know about deciding which route to take. Continue Reading