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Data warehousing as a discipline has gained importance due to the prevalence of multiple data sources that make business reporting quite challenging in today’s corporate environment. Data warehousing forms a solid foundation for a successful business intelligence initiative.
Datavibes has consultants that specialize in different aspects of Data warehousing such as: |
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Data Readiness services help optimize a database for a data warehousing initiative. Our experts go through a series of planned steps to enhance the quality of reporting that a data warehouse can ultimately generate. These steps together form the basis of our data readiness services and include:
- Data Preparation and Discovery
- Data Remediation and Quality Management
- Data Acquisition, Profiling, Delivery and Access
- Data Modeling
By leveraging our Data Readiness services, companies ensure that both the quality of their business intelligence (BI) as well as the time frame of implementing a BI project is reduced substantially. |
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| Meta Data Management is more than just a data directory that can tell you where to find a certain piece of data. It is the basis of the trust that you want your managers to have in the data so that they actually use it for decision making. Meta data management provides a description of the data but it also offers a context by allowing managers to trace information to its source. This enables a higher adoption rate of business intelligence as a tool for making decisions, resulting in better business choices. At Datavibes, our consultants have implemented several metadata management projects successfully as they truly understand how metadata can impact business intelligence applications. |
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Master Data Management (MDM) is in sync with the BI goal of having a “single version of the truth”. With the growing number of systems and applications in an organization, there tend to be various versions of the same data. This leads to ambiguity in reporting and makes it nearly impossible to have a holistic view of the company’s performance. To enable the creation and maintenance of a uniform master data list, it is necessary to have a proper MDM process in place. Our consultants can help companies achieve this as they lay out an MDM strategy and execute upon it by using the following steps:
- Identify the sources and consumers of master data
- Collect and analyze meta data for the master data
- Appoint Data stewards who have ownership of master data, both on the business and technical sides.
- Implement a Data governance model to maintain and audit the master data
- Develop a master data model
- Choose a toolset depending up on the type of master data. For specialized areas such as customer master data or product data, it may be best to use a Customer Data Integration (CDI) or Product Information Management (PIM) tool.
- Design the infrastructure
- Generate and test the master data
- Establish a maintenance cycle so that the master data is continuously updated.
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Data warehouse implementation
Even today, many companies have the same information stored in different departmental systems leading to redundancy in organizational reporting. Today, though processing speeds have grown exponentially and pulling the data doesn’t slow operational processes, the volumes of data being processed has grown too and this makes a well-designed data warehouse an important piece of the information management strategy. At Datavibes, our data warehousing methodology is based on a comprehensive collection of best practices and repeatable processes that have been tested and proven to be effective. To read more about our methodology, click here. |
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