Introductiontobigdataandbusinessintelligence.edited x

Running head: INTRODUCTION TO BIG DATA AND BUSINESS INTELLIGENCE

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INTRODUCTION TO BIG DATA AND BUSINESS INTELLIGENCE 2

Introduction to big data and business intelligence

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Big data is a term that is used in reference to big volumes of data or information. The data in big data is usually chunk in that it becomes a challenge to put them in an excel sheet.it proves a big challenge to handle such volumes of data conventionally making it possible to have some tools that can enable data collection, handling, managing and analyzing. Businesses need to adopt and implement the use of big data analysis in their business daily operation since it makes it easier. There is evidence that a lot of data are received, received and accessed daily in a business or organization hence there must be a mechanism that can handle such data because if they fall into the wrong hands can cause adverse effect to the organization or business by making it more vulnerable and susceptible to threats (Sedkaoui, 2018). Big data analytics goes hand in hand with business intelligence. Business intelligence is also an important component of a business since it refers to the activities or set if the process, technologies, and architecture that translated raw data to a more profitable set of data to be used in business activities. It can be contained in form of software that transforms data into implementable knowledge and intelligence.in recent years, organizations and businesses are adopting big data in order to take their business operations to the next level or advance in improving standards bearing in mind the issues on quality and cost. Big data is usually structured and unstructured and appears like a leave mosaic structure in big sizes.

Big data benefits the organization in that they can be able to deal with large volumes of data, be able to study the market trend, improve on productivity and quality of the output. They embrace the technology since they can be able to transfer their data from analog which sometimes can be costly by having some information missing, lost, copies and insecure to the digital platform which information is kept safe, secure, easier to retrieve and chances of losing being minimal .during the shift from analog structure to digital structure there is the creation of more data especially during conversion and can be generated each and every tear .a big data in its influence to the business intelligence is not swift since it also faces many challenges and problems .some of the challenges include the size of data .data are in volumes and they prove challenging especially in data analysis. Another challenge is the fact that the designs and the structure of big data are always dynamic and challenging to understand and there is a lack of one comprehensive design or strategy for big data hence there is no uniform procedure if guidelines to be followed (Grossmann & Rinderle-Ma, 2015). Businesses also face challenges when trying to be in line with the set principles that govern information is mandatory that big data should adhere to the principles of confidentiality where information should be held with a lot of secrets to avoid leaking to outsiders. Another difficult principle to adhere to is the principle of integrity.it requires that information should be retrieved in the state it was stored without an element of compromise. Information should be availed in the right state and no distortion of any kind. The other principle is the availability, the information should be availed when required at the shortest time possible to avoid wasting the time of the client, the information should be readily available when needed.

References

Grossmann, W., & Rinderle-Ma, S. (2015). Fundamentals of Business Intelligence. Basingstoke, England: Springer.

Sedkaoui, S. (2018). Data Analytics and Big Data. Hoboken, NJ: John Wiley & Sons.