Research Proposal on Data analysis

Along these lines, planning a business model plan around information leaving vast data collections is extremely critical for the accomplishment of the company. Before disposing of legacy data storage, the target ought to be to consolidate data in a structured manner; this should be possible in the use of excel with no additional cost brought about by the company. Data collection should be exact for the company to be accessed quickly. LITERATURE REVIEW Data is of two types: primary and secondary. Primary data is the first-hand information collected by a researcher whereas secondary data is information already obtained from other sources and always readily available ("3 effective methods of data collection for market research", 2018). Finally, check the box of Solver Add-in and press OK (Foreman, 2018).

RECOMMENDATIONS Eliminating legacy data storage systems Legacy storage systems are unsupported or outdated systems that are still functional in the form of hardware or software storage. Therefore, it is recommended to eliminate such storage systems. By removing such systems, one needs to follow the following vital steps; one, understanding- one should understand what data to hold. This step helps companies to know their savings hence it is an excellent step for decision making. Consolidating the existing data From the above definition of data consolidation, Excel is well considered to do such work. By introducing data structuring in excel, data can exist in large volume but by structuring it may lead to consumption of a lot of time which is achievable. This can be done by, formatting of the data, then all the formatted and structured data to be recommended in a pivot table which will be used in sophisticated data functions in Microsoft Excel.

Therefore, several data modelling infrastructures are applied after the central part of data structuring in excel are done. Modelling infrastructures like data visualization and HADOOP have brought up data analytics which is a primary tool for decision making in the present field of data-driven business intelligence. Finally, they should collaborate, share, and monitor data, implement advanced behavioural analysis, and empower end users with intuitive analytics. Ownership and processing With such technologies on processing and data interpretation, it is only some individuals who are liable are needed to check the developments which will enhance better decision-making factors easier and faster. Ownership for data helps in holding one's copies of the data that the company collects. Property for data has influenced in the plans for advocates and new programs so that they can support the customers in need.