Triple R ITStreamlining organizational processes
In the current competitive market conditions, businesses need to excel in the products they offer and services they provide.
As competition increases and the quality of the product and service industry peaks, profit margins are under high pressure. As a result, companies strive to optimize their internal costs while attaining their quality standards and service levels.
Currently, many companies are looking into optimizing their organizational processes across the functional boundaries of their organization. This poses significant challenges on the communication between different systems within the organization.
In order to achieve these optimizations, all to often IT needs to be realigned to achieve business success. However, realigning the IT systems at a lower level takes time, which is all too valuable.
The DataSource Integrator provides means to integrate various systems that are currently operational within the organization. This allows the organzation to realign their IT strategy quickly resulting in streamlined and cost-efficient processes.
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Informed decision making
Current Business Intelligence (BI) practices all too often require separate data warehouses for report generation. In order to fill this these warehouses, a lot of data is replicated.
The problem with this replication step is twofold. First of all, during this process conversion errors can occur, especially if these replication steps are executed manually. Second, the time it takes to perform this process invalidates the accuracy of the data; since bulk-conversion is not fast enough, the resulting numbers differentiate from the actual business state.
As a result, strategic and/or management decisions are based on inaccurate information, if at all.
The DataSource Integrator takes a different approach; why replicate the data in the first place? By providing near real-time integration and aggregation possiblities, generation of management information is instant and accurate!
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Optimizing (Multiple) Sales Channels
By reaching out to your customers over multiple sales channels, sales numbers can be increased through cross-selling and customer satisfaction can be improved.
The channels, both online and offline, over which customers are buying your products will probably include one of the following:
- Direct sales
- Stores
- Catalogs
- Datasheets
- Webshops
- EDI
However, most of the time, different software solutions are used to provide each of these channels with the latest product and pricing information.
In order to update these systems simultaneously a tight data integration scheme needs to be in place. With the DataSource Integrator, a single point of entry can be created in order to minimized the risk of inconsistancies and to bring the latest information to your customers rapidly.
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Enabling New Supply Chain Management Strategies
Most supply chain management strategies strive to lessen inventory costs by reducing inventory while at the same time being able to satisfy customer demand.
Soon optimizations of these strategies hit organizational boundaries and inventory positions upstream or downstream of the current position in the SC are needed in order to reduce costs or attain service level agreements.
In order to reduce stock positions, while being able to satisfy demand promptly, more and more companies share data such as inventory statistics and production rates through Electronic Data Interchange (EDI).
However, to constrain supplier power, most companies have a pool of suppliers instead of one. Each supplier uses a different inventory management system and has different access rules.
To be able to set-up EDI with multiple suppliers in an efficient and most of all a secure manner, the DataSourcer Integrator provides an easy-to-use interface with highly configurable authorization settings.
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Automated data entry
Businesses are increasingly data-driven. Each day, data flows thru the organzation in all sorts of forms: Orders, e-mail and paychecks just to name a few. The majority of this data is probably irrelevant for a company; however, there are exceptions.
Most notably, the data that is directly related to the primary process(es) of the enterprise will need to be accurate. Wrong customer and/or supplier credentials can easily disturb the sales process, putting unnecessary pressure on profit.
Inaccurate data is primarily caused due to incorrect input, conversion or propagation of data. In order to solve these issues, the DataSource Integrator provides an easy-to-implement integration between systems. This enables a single point of entry to reduce input errors.
Conversion and propagation errors are handled by the mathematical model underlying the DataSource Integrator. Furthermore the DataSouce Integrator provides extensive support for provenance to make sure no data is lost during the conversion process.
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