Summary Of Brian Moynihan's Competing On Analytics

The Royal Bank of Canada using CRM and customer profitability tools to gain a competitive advantage in Canada's increasingly crowded financial services market.

Concern about Big Data has been heightened in recent years. The report intents to first discourses the definition of Big Data, relationship between business analytics and Big Data, and several commercial softwares of Big Data. Then the report will illustrate a case study on a global e-commerce company called Alibaba (China) Co, Ltd with company background information, challenges when facing and applying an accounting information system of Big Data and Benefits that Big Data bring to the company. It should be also noted that the report heavily emphases the impact of Big Data particularly through an accounting perspective. As a consequence, the report will come into a conclusion on implications of Big Data to business organizations.

Unlike most banks, RBC Royal Bank has well understood the need to leverage the economic value of customer information for many years. Since the late 1970’s, the bank has searched for and found innovative ways to use its customer data to improve its business performance and

From an operational viewpoint, banks are trying to incorporate technology in their product offerings, such as advanced banking and financial-related mobile applications. Innovations are made with the assistance of learnings from customer information and data analysis, which are an essential part of analytical CRM. The strategic view also suggests that banks are building a social presence on online platforms to enhance customer engagement and build a long-term relationships with their customers. The above approaches can clearly be identified when looking at CBA and NAB customer relationship management strategies. With its high-tech ATMS and state-of-the-art Commonwealth mobile app, CBA has full product leadership in the market, enabling them to have a competitive advantage when attracting new prospects or customer retention. On the other hand, NAB use customer intimacy as their core CRM strategy, cutting their product offerings in half and make consumers more centrally focused. They are very responsive in customers' needs and wants; and is the leading brand when it comes to customer

The problem that Graybar described in the case was that they were facing pricing pressure from its customers, which resulted in Graybar’s profit margins being squeezed. They were focusing primarily on customers that spent the most money, but that was only a small percentage of their total customer base and they had to learn how to deal with the rest of their customers. Researchers had analyzed the company’s issues and pricing problem before suggesting that Graybar identify each customer to see how costly that customer is to serve. Their technique was to place customers into categories based on their profitability, loyalty, and liability. Additionally, SAP developed a new analytics software (called SAP Customer Value Intelligence), which sped

The article by Chandler (2015) “The Business Intelligence and Analytics Leader 's First 100 Days” hit a cord with me after a talk with a friend of mine who was just added to the BI team at his company. The new BI director at my friend’s company could have used this article to help him with his new role of BI director. My friend’s boss came in with prebaked ideas and thought he knew what the company needed from the BI department, but after 380 days the department is still feeling its way around in the dark.

In an uber globalized market of today, companies are faced with challenges in each and every step of their business. Our analytics and research services are geared towards giving those companies that extra edge over the competition. We process and analyze terabytes of data and break down all the fuzz and chatter around it to give our customers meaningful insights about their competition and the market they are engaged in.

The typical customer acquisition goal is to extend our reach to more people. With a well-defined digital blueprint and no data supporting it, chaos can brew within your company. You must “develop a strong internal link between improved customer experience and data-driven customer insight.”

Today, data is a growing asset that various businesses are having difficulty converting into a powerful strategic tool. Companies need help turning this data into valuable insight, which can diminish risk and enhance returns on investments. Companies are struggling to make sense and obtain value from their big data. Superior and reliable

The ultimate aim of this data model is the ability to predict the risk of a millennial adopting a new service from Westpac Groups financial brands. A data model will give the institution a strong edge over its competition. It will eliminate the hit or miss approach many companies use when developing and marketing new products by accurately identifying the potential customers.

Distinctive Capability - ABC has a demonstrated capability to use analytics to create a competitive advantage from an investment management standpoint. Millions of data points must be continuously analyzed to ensure passive stock and bond investments, totaling in the trillions of dollars, are efficiently managed for performance and risk. On the client side the diverse business structures and the prior focus on efficient operations has to date limited ABC’s ability to build out a world class data analytics capability comparable to the one that exists on the investment side of their business.

Accenture Analytics believes that refining the metrics used to measure analytic impact typically will yield an invaluable prize—greater and more credible clarity around ROI. Companies need to focus on getting the data that is relevant to business decisions and to business strategy, including big-data gathering in areas such as geometrics, telemetries and other unstructured data. Once businesses start using analytics for strategic decision making, they are more likely to get a better read on ROI.

Walmart is the biggest retailer in the world and handles more than one million customer transactions every hour and generates more than 2.5 petabytes of data storage (Venkatraman & Brooks, 2012). To put this into perspective, this data is equivalent to 167 times the number of books in America’s Library of Congress (Venkatraman & Brooks, 2012). So how can Wal-Mart use this massive amount of data and what useful information can this data provide? This paper will provide a brief overview of the importance of Business Intelligence (BI) and how the largest retailer in world, Walmart, is using it.

R.L Fielding (2008) reiterates that Business Intelligence is a thorough and holistic analysis of the company records, data, information, and software application for effective decision making. All decision making processes need an organized, readily-accessible, and human readable compilations of data. With the use of an effective tool the firm can easily figure out their own business processes, the behavior of their customers, and the economic trend of the industry. With these facts, the firm can arrive at a better strategy to achieve their specified goals with confidence.

Business thrive when they have the most accurate, up-to-date, and relevant information at their disposal. This information can be used for a plethora of pertinent markers in small and large businesses, relating to accounting, investments, consumer activity, and much more. Big data is a term used to describe the extremely large amounts of data that floods a business every day. For decades, big data has been a growing field, facing controversy on many levels, but as of late, it has been a major innovator in the challenge of making businesses more sustainable. Big data is often scrutinized for its over-generalization and inability to display meaningful results at times. When applied correctly, data analysis can bring earth-altering information to the table.