Self Service BI
In-memory Technology Makes It Easier & Faster To Get The Right info
In-memory technology has changed business intelligence, analytics and reporting. With pressure growing by the day to make products quicker to deploy and easier to use, Business intelligence (BI) and data warehouse vendors are increasingly turning to in-memory technology in place of traditional disk-based storage to speed up implementations, and to extend self-service capabilities.
This technology analyses data and exposes information from various data sources including your ERP, HR, Production Systems as well as from flat files, spreadsheets and any other data source. Relevant information across the business is then delivered to the user.
In-memory technology as part of your business intelligence solution not only gives you the ability to retrieve massive amounts of data in the blink of an eye, but also the ability to update this data very quickly.
- Financial reporting will be easier to access and not be limited to information in your financial system.
- Sales analysis reporting in real time with slice-and-dice capabilities to any dimension, for example by customer, by customer category, by location or region.
- Information and analysis on procurement for budget purposes or BEE compliance.
- Real time inventory movements, tracking and forecasting.
- Real time manufacturing reporting and data analysis at the lowest transactional level.
- The cost of correcting mistakes or improving the report design after the initial implementation will decrease dramatically.
- There will be more advantages identified through in-memory technology as the solutions mature and provide the functionality to people in the business who understand the information they need in order to support better management decisions.
Why do you need this for your business and how will this technology influence it?
Better, Faster and more accurate data for decision makers in your business.
This new technology is changing the design and approach to implementing solutions on masses of data. This affects the way we design data structures, that were intended to “group” data in pre-defined data marts to access relevant information from the data warehouse. In some cases data warehousing may not be required if the data in a system’s relational database is in no need of ETL (Extract, Transform, Load) processes. In-memory data manipulation combined with an existing data warehouse is enhancing the user experience and data quality even further. In-memory technology is shaping the way we work with data and can more easily bring data to the end user.
Self-service business intelligence will be the next step to ensure more information is available through in-memory technology. Users will have the ability to easily access this information by guiding users through data source connections, familiar working environment to create reports, KPI’s and dashboards.