Data Warehousing Solutions for Budding Enterprises

Relevance and significance of DWH has been realised across businesses big or small. It is particularly important for small and promising enterprises, as it helps you to sustain in the competitive league. Bigger enterprises are bound to have these insights from their marketing and years of industry analysis. But small enterprises tend to need this to take that big leap with the competition.

These are some key steps in the Data Warehouse process:

Understand business requirements and modelling systems pertaining to the situation at hand
Design, develop and implement database systems based on customer requirements
Optimize database systems for performance efficiency, which includes query optimization using execution plan and techniques, server configuration, etc.
Database Migration from legacy databases; transform the old processes into new and more efficient ones using contemporary tools and provide assistance & maintenance support.

One needs to understand its business requirements to have a focused objective while executing the DWH plan. Listed below are few benefits of using Data Warehousing techniques for any small and growing enterprise:

Consistent and Quality Data: Data warehouse requires conversion of data from numerous sources into a standardised format. The data from the various departments is standardized and processed; to make the data more accurate. The accurate and qualitative data is the basis for strong business decisions.
Saves Precious Time: The users can access critical data generated from different sources at one place. This helps in taking informed decisions. The users can retrieve data on their own without being dependent on the IT department for generating reports.
Provides Historical Information: Large amount of historical data, spread across different time periods is stored in data warehouse. The data is used to make future predictions.
Enables Decision Making process: The diversified data stored in data warehouse removes the redundancy faced due to errors in the data set. In fact now the data can be used in all spheres of decision making in a business enterprise.
Acts as an information backup source: It acts as back-end storage for the valuable data of the company.
Increased ROI: ROI refers to return on investment generated by a project. Implementing DWH generates higher revenues and thereby providing greater ROI on the technology utilised.

Data Warehousing (DWH) & Big Data today substantially influence business decisions. It helps segmenting and classifying data and enables enterprises to make informed choices. It’s like a whole canvas of crucial information segmented in the desired data formats to decipher the required inferences.
Relevance and significance of DWH has been realised across businesses big or small. It is particularly important for small and promising enterprises, as it helps you to sustain in the competitive league. Bigger enterprises are bound to have these insights from their marketing and years of industry analysis. But small enterprises tend to need this to take that big leap with the competition.
These are some key steps in the Data Warehouse process:

Understand business requirements and modelling systems pertaining to the situation at hand
Design, develop and implement database systems based on customer requirements
Optimize database systems for performance efficiency, which includes query optimization using execution plan and techniques, server configuration, etc.
Database Migration from legacy databases; transform the old processes into new and more efficient ones using contemporary tools and provide assistance & maintenance support.

Moreover, it saves time, provides historical intelligence and assures more ROI. It deals with large and complex queries in a highly- efficient manner. It transforms scattered data into relevant and required information applicable for making business decisions. Nevertheless, it is a cost-intensive proposition and its progress needs to be tracked to evaluate effectiveness.
One needs to understand its business requirements to have a focused objective while executing the DWH plan. Listed below are few benefits of using Data Warehousing techniques for any small and growing enterprise:

Consistent and Quality Data: Data warehouse requires conversion of data from numerous sources into a standardised format. The data from the various departments is standardized and processed; to make the data more accurate. The accurate and qualitative data is the basis for strong business decisions.
Saves Precious Time: The users can access critical data generated from different sources at one place. This helps in taking informed decisions. The users can retrieve data on their own without being dependent on the IT department for generating reports.
Provides Historical Information: Large amount of historical data, spread across different time periods is stored in data warehouse. The data is used to make future predictions.
Enables Decision Making process: The diversified data stored in data warehouse removes the redundancy faced due to errors in the data set. In fact now the data can be used in all spheres of decision making in a business enterprise.
Acts as an information backup source: It acts as back-end storage for the valuable data of the company.
Increased ROI: ROI refers to return on investment generated by a project. Implementing DWH generates higher revenues and thereby providing greater ROI on the technology utilised.

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