Managing with Analytics at Procter & Gamble

Decision making and communication are at the center of business success and efficient business analytics would only be effective through the use of proper information systems and that are up to date with current trends as well as optimizing on the available channels.

Business analytics would offer efficiency to the firm whereby it would formulate decisions to help achieve its specified goals. Analytics would help TecWiz to gather data at a faster rate for presentation in a visually appealing way. Therefore, analytics would encourage a

* IDS embedded analysts within the business units, each dedicated to working alongside leaders and managers of a particular team on a daily basis. In some cases, the embedded IDS analyst was a member of the business unit’s leadership team.

In this paper I am going to share my last company NTT DATA GLOBAL DELIVERY SERVICES LTD’s tactics, strategies, operations and management and its usage of analytics in the global market to achieve its goals.

Define the required analytics through the manufacturers of statistical modeling. Using big data to analyze overall equipment effectiveness or calculate statistical process controls for quality defects to bolster techniques of problem solving solutions. Determine the required data sources by limiting teams as to what data they could look at based on storage or complexity of tying all of this data together. Identify internal data on processes of the key factors in determining the success of the new system. Ensuring trust in the data once the system is up and running which is smart to assign a time frame to remain on hand for any situations of data analytics that could cause a situation.

Business Analytics is a comprehensive method used by businesses deploying sophisticated tools to access past, vast and complex information and then use the acquired data and information to better analyse the organisation and equip its managers with the ability to make a well informed business decision. (http://sydney.edu.au/business/business_analytics Name: Business Analytics Website Name: University of Sydney Year 2015)

Currently, the company has its own analytics team in sales and administration department, doing daily data analysis in order to improve the sales number in physical stores and the decision-making process of management.

It’s quite common that every task that we perform, we check whether it is being executed in the expected way. Ultimately, if it’s going in a right path well and good but the actual question arises when it’s the other way. This is the point where analytics come into picture. The need for analytics is very much known to us because it can be one of the most powerful driving factors to tune the performance of an organization’s processes, strategies and uplifting revenue.

Broadly, there are two types of Analytics i.e. Business/Cube Analytics and Predictive Analytics. Business Analytics is a traditional way where historical measures (revenue, profit, loss etc.) available are extracted, transformed, modeled and stored for analysis. It is about getting insights on events that already happened. E.g. Year-on-Year sales report. In the contrary, Predictive analysis applies data mining and statistics on large volume of data for Forecasting, projecting, and predicting. E.g. KFC giving combo offer based on prediction of consumer’s possible purchase behavior to increase overall sales.

Analytics is in the top ten of upcoming technology trends at the moment. Analytics is going to be a game changer for all aspects of modern life and it is something everyone should know about. Nowadays analytics are used for everything, business data, marketing, government even healthcare and sports. There are some basic areas within analytics such us web analytics, business analytics, marketing analytics, behavioural analytics and predictive analytics. Analytics is growing so fast that in the near future is will be hard to think of any aspect of business that will not be affected by analytics. The main customers of analytics are business people, marketers, and sales people and in general all people that need analytical tools in order to improve their businesses profit, success and value.

An Analytics software is a key requirement for any small business which is dependent on an online presence to maximize its reach. The analytics software helps one understand the best ways to reach ones customers and draw more traffic and hence business. Google Analytics helps with the analysis of qualitative and quantitative data from a website and the competition to drive continual improvement of the online experience that customers and potential customers have, which translates into desired outcome. Google analytics is also one of the easiest ways to enable a small business to attract more visitors, retain or attract new customers for goods or services, or to increase the dollar volume each customer spends.

Today, organizations want more use of their talent and experience. To help them, analytics is used to manage their business performance, processes, strategy and key

Analytics is defined, according to online-behavior.com, as the “process of obtaining an optimal or realistic decision based on existing data.” [1]. Davenport and Harris (2007), defined analytics, as the “extensive use of data, statistical and quantitative analysis, explanatory and predictive models, and fact-based management to drive decisions and actions.” [2]. An article titled Outsmart the Competition by Jackie Zack in Teradata Online magazine states that “analytics can help an organization optimize their business processes to make them effective as possible.” [3]. It is a proven fact that proper use of analytics can lead an organizations to success, providing them with that distinctive advantage over their competitors. In this essay, details will be provided on how analytics has helped my organization to compete in their business segment.

Analytics tools are now indispensable for monitoring where your content strengths lie, and recognizing which types of content are adding nothing to the value of your brand. Basically, with continuous feedback you can consistently deliver content that strengthens your brand 's voice.

The first pillar of analytics is when analytics supports a strategic, distinctive capability (Davenport). Over 20 lines of businesses are housed underneath Aramark’s umbrella and each line is given a tool that specifically caters to their function. For example, the finance department within Aramark relies upon the use of the Oracle database to store important data such as sales and expenses. Out of its three competitors, what sets Aramark apart is its focus on the bottom line. From a high-level point of view, finance can assess where gaps are happening within the organization and help manage the growing expense line.