There are many organizations that have moved from server-based data storage to data warehousing for their storage necessities to integrate data from multiple source systems. This system has become preferable because it allows users to incorporate external data in a database, and have data prepared according to individual, specific needs.
Other than providing storage functionality, a data warehouse (DW) will restructure the data and prepare it for use. Acting much like an ordinary database, supporting query requirements, it is geared to collect info and make it end-user accessible at any time.
Up until now, data warehousing has been adopted by many industries for alternative storage, but also to manage and control their data. To a large extent, data warehousing is used as a single source for attaining, transforming, storing and analyzing very large amounts of structured and unstructured information from many different sources.
There are clear benefits to the adoption of a data warehouse.
One of them is that it can provide business intelligence (BI) solutions to deliver accurate information to decision-makers. Compared to a traditional database, data warehousing offers the right analytics solution to support data from multiple environments. This gives organizations an opportunity to store current and historical information so they’ll be able to see the big picture and effectively make better management decisions.
There is no doubt that organizations can benefit from the use of a data warehouse – yet, there are some that have held back to move forward to take advantage of this central data source architecture that brings scalability, availability and manageability. They appear hesitant to use it because they do not trust how it will compile and organize their data into one common database. They are reluctant to believe it can improve business performance and reduce operational costs.
Market and communication can help improve BI and DW adoption. The following four steps can drive usage and implementation of a data warehouse initiative that is sure to get more users on board.
1. Build an internal website. This becomes the business intelligence plan to describe the data warehouse capabilities and details of a forthcoming project. It will be the place to describe the DW architecture and discuss the opportunities that exist from gained data sources.
2. Provide feedback to stakeholders. Effective and complete communication is paramount for those stakeholders who are involved in the data warehouse project. The idea here is to educate users and provide readily available information on events.
3. Develop an interactive community. This is where a community can come together to encourage participation. Through proactive communication, it becomes possible to take part on data issues, be able to resolve analytics problems or be “in the know.”
4. Pamper those involved. Be sure to encourage one another’s efforts. It may be proper to pamper them for doing the job properly. If this is done, it will not only help make the process to provide services much easier but will make things progress further in the organization.
This four-step approach entailing marketing and communications works much like a data warehouse where it becomes an essential process and service to have a centralized source to deliver data to multiple parties. It is evident these steps can help both BI/DW usage and adoption across several industries.
All it takes to improve data warehousing adoption is to create a plan for the warehouse as onewould to create an internal website, and then understand the steps that go with it in order to get the most use of its set up.