P a g e|2 Executive summary Large number of data are generated every day from modern information systems and technologies like cloud computing and social media. Big data analytics is the current solution for research and development in consultancy firms. Therefore, the main objective behind preparing this report is to bring forward the impacts of data analytics and the manner in which it can benefit MRC. This report has been prepared while addressing Executive Management Team of MRC so that they can bring necessary changes in MRC related to technological grounds.
P a g e|3 Table of Contents Executive summary............................................................................................................................2 INTRODUCTION.................................................................................................................................4 FEATURES OF DATA ANALYTICS.........................................................................................................4 Programmatic................................................................................................................................4 Data driven....................................................................................................................................4 Large scale activity.........................................................................................................................4 Iterative in nature..........................................................................................................................5 Quick method................................................................................................................................5 IMPACTS OF DATA ANALYTICAL.........................................................................................................5 Improved target segmentation......................................................................................................5 Business development for lean management...............................................................................5 Cost reduction and increased revenue..........................................................................................5 Maintenance of employees through predictive analysis...............................................................6 Data indexing and governance......................................................................................................6 CONCLUSION.....................................................................................................................................7 REFERENCES......................................................................................................................................8
P a g e|4 INTRODUCTION Data analytics is one of the technologies that enable drawing conclusions about data stored with the help of special software’s and systems. This technology has been used by commercial industries to implement information based business decisions and with the assistance of researchers and scientists, the evaluation results are verified. There are many advantages of data analytics which is the reason MRC has shown its concern to implement it in its management system. Since this consultancy firm deals with FMCG companies, enabling data analytics into its systems will prove very beneficial(Market Equations, 2018). MRC is an Australian based market research consultancy firm and dealing in U.S based firms that are IGA and 7Eleven Franchise, it has to deal with outsourcing business. Capability and efficiency is highly considered in outsourcing business which is the reason behind suggesting adoption of data analytical in its operation. FEATURES OF DATA ANALYTICS To get detailed insight of data analytical features is equally important as getting knowledge about its impacts’. Therefore the following this report has investigated about few features that are applicable to research marketing consultancy firms. Programmatic: This is one of the finest changes that have occurred in data analytics systems recently as compared to earlier system in which users had to manually load applications for exploration. Under this feature, user can start working with raw data that are handled programmatically and is further explored according to the level of data(McKinsey and Company, 2015). Data driven: Under this feature, scientists or researchers uses hypothesis-driven approach to information analysis in which they collect data to see if the premise is true or not. For example, machine knowledge algorithm can be used for finding hypothesis from free data analysis(Towards Data Science).
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P a g e|5 Large scale activity: Earlier, users had to input fewer attributes of data source. But nowadays, dealing in hundreds of gigabytes of facts consisting thousands of attributes along with millions of observations in social media is enabled. This shows the degree to which it has extended its operations(TechTarget). Iterative in nature: Computer power can imply iteration on models until users get what they actually desire. To evolve with a model based on larger number of data advanced computing techniques is required like neural works or natural language processing that can be stored in software’s without making repeated effort. Quick method: Computing cycles through data analytics can prove quick method by leveraging an internet based infrastructure as an overhaul. There are many IaaS platforms like Amazon cloud service that can provide group of technology to evaluate large number of data and analyse them promptly(Hurwitz, Nugent, Halper, & Kaufman, 2018). IMPACTS OF DATA ANALYTICAL The following impacts of data analytical have been investigated from various resources that can be applicable to MRC also, provided data analytical is adopted in its operation. Improved target segmentation: This means to customise users experience with relevant offers while presenting them in front of targeted audiences in social media. Data analytics can read customers insight by evaluating both leading and wadding customer’s trends with the help of predictive models of marketing department. Marketing research consultancy firms have deployed data analytics to gain valuable insights on consumer behaviour, their buying behaviour, interest towards changing products in FMCG, and response towards new offers. Business development for lean management: Reducing costs and improving quality is what lean management is concerned about. In companies like pharmaceutical and chemicals where work consistency is low and seasonal, big data analytics can help improve in quality. By upholding continuous process for improvement, research consultancy firms will also be able to get improved if faced by any lean period. According to Sharma (2017), big data can be worth billions of dollars for lean
P a g e|6 manufactures in FMCG and many others which is the reason they are deploying data analytics in their standard operations. Cost reduction and increased revenue: Cloud base data analytics can bring adequate cost advantages while storing large amount of data along with identifying more ways of conducting business. Organisations those have implemented big data into their operations has been reported an average increase of 8% in revenues along with 10% cost reductions annually(Sharma, 2017).By embracing business analytics and data presentation techniques, market research consultancy firms gets better decisions making power and setting of goals. By boosting revenue and enhanced services, they can approach more clients along with taking present clients to a new level. If the clients receive accurate and efficient service through technologically advanced firm, they will automatically recommend others to join MRC for their marketing research. Maintenance of employees through predictive analysis: Making bias decisions and predictable decisions by employers have become obsolete which has been replaced by evidence based decisions. The data analytics have even affected recruitment process in firms by including talent development, vacancy marketing and filtration of prospective job applicants. With the help of latest data analytics software’s, MRC can estimate the cost of training their call centre staff along with other measures that needs to be taken in HR practices of the firm(Ahmed, 2016). Data indexing and governance: Organisations has to deal with large number of data and information’s with regard to storage, reclamation, data creation and analysis. Data analytics can prove very advantageous here as firms like research market consultancy can get useful insight through self dealing analytics that can result in effective decision making.
P a g e|7 CONCLUSION The convergence of analytical data, social media and regulatory changes has caused making changes in business operations. With increasing needs of clients and customers, the market are experiencing rapid changes in which firms need to accept technological assistance for generating insight of data with minimal delay. This report have laid many features and impacts of data analytics related to market research consultancy firms that can assist managements of MRC to meet business goals in smarter way. Data analytics initiatives can help increase revenues while improving its efficiency and accuracy in service. Therefore, this report suggests the Executive team of MRC to consider data analytics in its operation so that future enhancement of operations is probable in rapid way.
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P a g e|8 REFERENCES Ahmed, A. a. (2016).A Survey on Big Data Analytics: Challenges, Open Research Issues and Tools. Retrieved from https://thesai.org/Downloads/Volume7No2/Paper_67- A_Survey_on_Big_Data_Analytics_Challenges.pdf Hurwitz, J., Nugent, A., Halper, F., & Kaufman, M. (2018).CHARACTERISTICS OF BIG DATA ANALYSIS. Retrieved from http://www.dummies.com/programming/big-data/data-science/characteristics-of-big-data- analysis/ Market Equations. (2018).DATA ANALYTICS SERVICES BY INDUSTRY. Retrieved from http://www.marketequations.com/services/retail-analytics-modeling-services.html McKinsey and Company. (2015).Marketing & Sales Big Data, Analytics, and the Future of Marketing& Sales. Retrieved from https://www.mckinsey.com/~/media/McKinsey/Business %20Functions/Marketing%20and%20Sales/Our%20Insights/EBook%20Big%20data %20analytics%20and%20the%20future%20of%20marketing%20sales/Big-Data-eBook.ashx Sharma, R. (2017).5 Business Impacts of Advanced Analytics and Visualization. Retrieved from https://dzone.com/articles/5-business-impacts-of-advanced-analytics-and-visua TechTarget. (n.d.).Data Analytics(DA). Retrieved from https://searchdatamanagement.techtarget.com/definition/data-analytics Towards Data Science. (n.d.).10 Key Technologies that enable Big Data Analytics for businesses. Retrieved from https://towardsdatascience.com/10-key-technologies-that-enable-big-data- analytics-for-businesses-d82703891e2f