Crisp-Dm

Define data analytics in general and provide a brief overview of the evolution of utilizing data analytics in business

The latest technological development in data analytics and implementation helps organizations gain insights and how to deal with informed decisions.

Having data is not valuable but using data is. Analytic insights are changing the way corporates strategize and also redefining customer expectations. Analytics is the new differentiator between success and failure in the cut throat e-commerce and internet services based industry. The huge proportions of data generated from the increasing number of smart phones, the social networks and the ever more penetrating internet are automating customer centric marketing and other services. The idea is to predict what a customer may want to buy even before the customer realizes what they need. The techniques to achieve these results are broadly classified as Predictive Analytics.

Kudler is looking for ways to increase sales and customer satisfaction. To achieve this goal Kudler will use data mining tools to predict future trends and behaviors to allow them to make proactive, knowledge-driven decisions. Kudler’s marketing director has access to information about all of its customers: their age, ethnicity, demographics, and shopping habits. The starting point will be a data warehouse containing a combination of internal data tracking all customers contact coupled with external market data

The first true CRM system was not launched until the early 2000s. Technology made it easier to adopt CRM systems, and these systems became a common sight in retail stores. The goal of these systems was to analyze customer data with techniques like pattern recognition and data mining. With this information, management staff members could make informed decisions about business strategics, marketing and purchasing

As stated above, data mining is often used to solve business decision problems, “it provides ways to quantitatively measure what business users should already know qualitatively” (Linoff, 2004). A growing number of industries are using data mining to become more competitive in their market by primarily focusing on the customers; increasing their customer relationships and increasing customer acquisition.

process evolved into a more sophisticated scoring system based on a project's multiple attributes, such as commercial potential, technical risk, and investment requirements. Although the approach looked good on the surface, many people involved in it felt in the end that the company was following a kind of pseudoscience that lent an air of so-

Today, the world’s trend in operating business focuses on data availability to enact the best suitable decision to improve, develop, and increase business revenues. Moreover, the availability of data helps to monitor and control the quality of provided products or services. However, the availability of data without proper analytics operations would have no meaning (1). Data analytics provide an important aid to an organization to figure out their position in the market in comparison with their competitors. Also, data analytics helps to identify what is the organization’s competitive ability in the market, what they should bet on, and what they should strive for. With that being said, many of today’s most successful organizations utilize

1. Christensen, E., Coombes-Betz, K. and Stein, M., (2007) The Certified Quality Process Analyst Handbook. Wisconsin: ASQ Quality Press

Analytics has been used as isolated initiatives within my company. Different levels of applications of analytics is a reality. Historically, quality department has leading the way in data-driven decision process by using several statistical and quality

The increase of both structured and unstructured data, along with more sophisticated analytical tools, has resulted in the development of better predictive metrics. (Institute of Management Accountants, 2015)

Data mining can aid direct marketers by providing them with useful and accurate trends about

Business analytics (BA) is a method combining skills, technologies, applications, and processes that is used by the company to gain valuable insight on the processes of the business by collecting statistical data. BA is used by the company to improve the business decisions and can be used to automate and optimize the business processes. A data driven company, such as SMB Computation treats their data as a corporate asset and uses it to gain a competitive advantage. For business analytics to be successful, skilled analysts who recognize the technologies and the companies, organizational guarantee to the data-driven decision-making must collect quality data (Rouse, 2010).

Companies are facing a highly uncertain environment due to financial-crisis, global economy, and dealing with high-competitiveness. The value encompassing the culture of leveraging people, process, data and technology. The shared core-values and priorities of an organization has becoming essential for intelligent enterprise (Stubbs, 2014) . As Evan Stubbs described in his book (Stubbs, 2014), we need skilled employees who are involved in applying business analytics, comfortable leaders with uncertain environments and planning for unknown unknowns. Process must be linked to achieve an outcome and strongly defined, further to create specific steps that can be automated. Not less important – data and measure process for future analysis and decision-making process; convert simple data to valuable information for executives. And the technology enables to produce assets.

Worked closely with BAs to gather and provide specific and crucial information through data mining using advanced SQL queries, OLAP functions and PL/SQL Stored Procedures and functions.