Methodological Aspects and Case Studies of Business Intelligence Application Tools in Knowledge Management as Corporation’s Strategy Development

Methodological Aspects and Case Studies of Business Intelligence Application Tools in Knowledge Management as Corporation’s Strategy Development

By using Business Intelligence (BI) as a competitive advantage, financial services could manage the data quickly and provide advisory analysis with predictions. This will create more understanding for the customer and motivate them to fulfill their needs. In addition, it will help to ensure that financial institutions do not lose any valuable information or data that is important to their business. In this competitive market age, financial sectors must have strategies to survive. The way a Financial Institution in analysing the fraud, risk and customer behavior are very critical. Business Intelligence (BI) has been used for a years in order to help a company to solve this kind of problems, because Business Intelligence (BI) can handle huge amount of data for the comprehensive analysis.

PROPENSITY TO PURCHASE

One tool marketers can use to overcome that challenge and drive greater personalization and better business outcomes is propensity modelling (Propensity to Purchase).

Manipulation tactics: how brands can get more customers

Manipulation tactics: how brands can get more customers

The customers are not willing to buy goods based on their benefits, then how could we make them? An effective way is psychological manipulation. Psychological manipulation of customers allows businesses to create certain feelings and emotions in the customer's mind so they can purchase goods more easily. Psychological manipulation tricks can also be used in marketing strategies to attract more attention to your product or service.

Getting readers to see content

Getting readers to see content

You know that content marketing isn't a luxury or an aberration, but rather a necessity to drive sustainable traffic to your blog. The best way to get people interested in your content is not just to write crap; it’s important to focus on the message, create a story line, and develop characters that your readers can relate to.

Uplift customer experience via After-sales/ maintenance app

Uplift customer experience via After-sales/ maintenance app

Decision Trees: Business Intelligence, Data Latency, and Data Mining

Decision Trees: Business Intelligence, Data Latency, and Data Mining

The book begins with an overview of decision trees and discusses how decision trees are related to other concepts such as decision theory, optimization, and statistical inference. The author then explores the use of decision trees in data mining tasks and describes how these techniques complement and supplement other business intelligence applications, such as dimensional cubes (also called OLAP cubes) and data mining approaches, such as regression, cluster analysis, and neural networks. The author then demonstrates how decision trees can be used to solve real-business problems by applying them to scenarios in manufacturing, sales forecasting, CRM applications and marketing analytics.

TOP TIPS FOR DEVELOPING AN MARKETING PLAN

Nowadays, with technology creating massive marketing opportunities, there are still some important criterion for developing an effective one to support your business mission. ASHAVI looked at some of the most essential factors that to help you get clear on all things you need in the plan. These are the following.

Comparing the distribution systems used by small companies and multinationals

Comparing the distribution systems used by small companies and multinationals.

Mobile Business Intelligence Trends

Mobile Business Intelligence Trends

BI technologies allow direct access to data and information. With the help of these technologies, a business can make better decisions upon analyzing big data. They are used widely in data-centered warehouses or data marts and can help to achieve various business outcomes by integrating big data analytics with traditional BI systems. Mobile BI is one of the effective ways to use the massive amount of data. Mobile BI helps businesses deploy data analysis methods to collect, analyze and segment data. It makes business intelligence accessible everywhere and at all times, thereby enabling organizations to make decisions based on analytics-driven insights. According to a report by Datameer, mobile applications will be the second-largest technology integrating Business Intelligence and Big Data. Also, Gartner reports that over 50% of Mobile BI users will depend on mobile devices for insight delivery. Companies such as SAS Business Analytics are already positioning themselves as “mobile-first” companies through a diverse range of services and offerings.