Datawarehouse, datamarts, business intelligence, datawarehousing solutions
NalinSoft datawarehousing consultants will develop for your organization a comprehensive program, which will include:
- Business and IT alignment (essential for business intelligence)
- Capacity management and resource planning to introduce, build, and operate a datawarehouse
- Change management
- Datawarehouse and datamarts problem management
- Datawarehousing software selection
- Datawarehousing consultancies
- Business intelligence
Datawarehousing
- Analyzing business requirements
- Identifying subject-entities to which datawarehouse systems and datamarts must be oriented
- Designing the structure of datawarehouse systems and datamarts to create a subject-oriented view with business intelligence implications
- Providing the client with a path to deal with key-issues, such as:
- Entity mapping
- Integration issues
- Business intelligence
- Knowledge management
- Data mining
Our datawarehousing consultants know how to project the most common applications of a datawarehouse system, such as:
- Risk analysis
- Relationship marketing
- Asset management
- Call behavior analysis
- Quality control analysis datamarts
Datawarehouse
Datawarehouse is a subject-oriented database where data are associated to a single organizational process (such as Product Sales), often called entity. A Datawarehouse is integrated with various source databases (part of ERPs or other systems) and datawarehousing has enormous strategic implications for business intelligence.
Our consultants will model a powerful knowledge management tool to organize enterprise organizational processes. We call datawarehouse or datamart enterprise organizational processes entities. A datawarehouse or datamarts give a subject oriented view of one particular entity. This view may give to the enterprise a competitive advantage. There is different type of datawarehousing architecture:
- Complex datawarehouse systems, often called Open Warehouse Solution Framework, made for large corporations and meant for processing large amount of historical data
- Datamarts, miniature datawarehouses or partitioned subsets of larger datawarehouse systems, often called department databases (a sales division may build its own datamarts by using sales related data)
- Operational Data Stores (ODSs), small OLAP datamarts, with a very much reduced amount of historical data, which may be useful for single individuals within the organization
Datamarts
Datamart (DM) is a specialized version of a data warehouse (DW). Like data warehouses, data marts contain a snapshot of operational data that helps business people to strategize based on analyses of past trends and experiences. The key difference is that the creation of a data mart is predicated on a specific, predefined need for a certain grouping and configuration of select data. Since data mart configuration emphasizes easy access to relevant information, the star schema or dimensional model is a fairly popular design choice, as it enables a relational database to emulate the analytical functionality of a multidimensional database.
There can be multiple data marts inside a single corporation; each one relevant to one or more business units for which it was designed. DMs may or may not be dependent or related to other data marts in a single corporation.
Business Intelligence
Business intelligence (BI) is a business management term which refers to applications and technologies which are used to gather, provide access to, and analyze data and information about their company operations. Business intelligence systems can help companies to have a more comprehensive knowledge of the factors affecting their business, such as metrics on sales, production, internal operations, and they can help companies to make better business decisions
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