Getting the right information, to the right people, just in time.
Real time data warehousing is a recent industry trend that has caught the attention of industry gurus and IT managers alike. The question remains - what are we trying to improve? It is all about improving on "time to decision". So what does it mean to have it "faster"? We have been inundated with terms like the zero latency organization, the active data warehouse, real time data warehouse, real time data warehouse, real time analytics, business activity monitoring, real time personalization and real time business intelligence. To us, real time decision support means "getting the right information, to the right people, just in time."
Role of Data warehouse and Business Intelligence in Retail Industry.
A close look at the different retail organizational functions suggests that Business Intelligence(BI) can play a crucial role in almost every function. It can give new and often surprising insights about customer behavior; thereby helping the retailers’ meet their changing needs. On the supply side, BI can help retailers identify their best vendors and determine what separates them from not so good vendors. It can give retailers better understanding of inventory and its movement and also help improve storefront operations through better category management.
Are you an insurance company trying to gain a 360 degree picture of your business across the globe?
In a traditional environment, operational systems like policy management and claims management systems provide function-specific reports which can be used to extract information about a particular event. These operational reports are useful for functional staff; however they provide very little strategic insight about the overall effectiveness of company operations. Business intelligence (BI) is an umbrella term used for an ecosystem of people, process and technologies operating in tandem to provide accurate, timely and actionable information to business users so they can better manage the business.
Data Migration Management - A successful approach for your SAP data migration project.
As you prepare to embark on SAP implementation or to upgrade your SAP system, you have a lot to juggle and plan. This white paper discusses at length how Expedien’s SAP data migration methodology reduces the risks of large systems deployments by using a tried-and-tested framework for the entire migration process, from source data analysis through post-go-live.
Put the right data management strategy in place before your SAP project.
When inaccurate or inconsistent data is transmitted across complex enterprise application architecture, it can have serious impacts on your organization – including operational inefficiencies, customer service delays, poor regulatory compliance, and even significant financial losses. An effective data management strategy relies on a combination of people, process and technology to provide data stewardship, which identifies data quality and data integrity as corporate priorities.
Data Governance is the key to successful Master Data Management.
Data Governance programs aim to achieve high data quality, consistent data definitions, increased data security, coordinated effort among others. Master Data management is about managing the master data to achieve the goals of high quality, increased security, data share-ability, data reuse, exposure to data warehouse and business intelligence, reduce infrastructure costs among others. Data Governance provides structure for an MDM solution. A well-defined Data governance program can initiate and assist in implementing a Master Data Management solution successfully.
Achieving a successful data migration through an effective data migration strategy.
Most of the times, data migration is misinterpreted as moving data from one database to another database. This interpretation causes migrations to fail at end or stop halfway through to fall back on existing applications. Successful migration strategy includes key activities such as Planning, Risks, Architecture, and so on to be performed in advance.
Achieve Information Governance Excellence with SAP EIM Solutions
Ensuring A Successful SAP ECC 6.0 Data Migration
Customer Case Study: Improving Data Quality as part of an Enterprise Data Management strategy
Optimizing the SAP BW Solution using SAP Data Services 4.0 and Preparing for In Memory Database Solutions such as HANA.