White Paper: Kavi Global
Analytics strategy has to be very closely aligned with the business strategy as business transformation is not an isolated activity. An analytics strategy can identify the gaps in terms of organization and people, processes, technology and data are and proactively address them to be successful. So, what really is an analytics strategy?
The key to success is a clearly defined vision and an analytics strategy. Whether you are planning an enterprise wide analytics program to transform the business or an analytics initiative that would benefit a single department, a well-planned Analytics Strategy can make all the difference by proactively addressing the reasons for the failures.
Are you struggling to bring analytics to the business strategy?? Then read this whitepaper that explores enterprise data analytics strategy, best practices, risks associated and how to mitigate them. It highlights:
How to successfully execute an enterprise analytics strategy?
Where in the business processes can analytics strategy be applied? What are the quantifiable benefits of doing so?
What are the best known strategies to prepare data for analytics?
What are the keys to develop a successful analytics strategy?
With technologies like Customer 360 and Mobile Device Management (MDM), you can obtain an accurate assessment of customers by extracting customer details from all possible data sources. Customer data management is becoming more complex than ever. Hence, it is recommended to choose the right technology for the most comprehensive view of the customer and to integrate the data within the various technologies. Read more about MDM and Customer 360 in this report that includes: 1. The Purpose of MDM and Customer 360. 2. The Benefits of Customer 360. 3. The biggest challenges in developing a 360-degree view of the customer. 4. The Challenges of Unstructured Interaction Data.
By: Datapine GmbH
Self-service BI(business intelligence) is growing with major shift from IT driven process to self service approach in Business intelligence. Instant insights with self-service reports are demanded by decision makers, as they need right data at the right time to make the right decision. Why are organizations adopting to self-service business intelligence (BI) tools ? What advantages do self-service BI offer over traditional BI? What's the difference between "self-service" and "traditional" business intelligence? How can self-service BI improve your business? What are potential advantages and challenges of self-service business intelligence tools? So if you want to eliminate the traditional time-consuming reporting process, self-service business intelligence tools can help you analyze what is happening in real-time. Check out this whitepaper outlining ten reasons why you need a true self-service BI solution, and what that solution should offer.
What is Business Intelligence ?
Business intelligence is a technology-driven process in which variety of software applications are used to analyze organization’s raw data and presenting the information in actionable format so executives and business leads can make better decisions looking at them. Although business intelligence has some common functions, it includes three basic functions: data mining, data analyzing and data processing.
What is Application ?
Application also known as an "application" or an "app" by definition is a program or group of programs designed to perform a specific function or a group of coordinated function directly for the user or, in some cases, for another application program. To put it simply, an app is a type of software designed that allow its users to perform specific tasks. Basically, whenever you want to do something useful with your computer or mobile you will need the help of application software
What is Analytics ?
Analytics is the process of obtaining an optimal and realistic decision based on examining existing data, typically large sets of business data, with the aid of mathematics, statistics, specialized systems and software. In the last few years use of analytical methods to extract useful insights from data have gained immediate importance and has helped several companies improve their business performances.