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Customer Centricity

BARC BI Forum: More intelligence in business

Self-Service BI, CRM, Analytics, Performance Management, Industry 4.0, and data strategies are all addressed at the BI Forum.

09 Mar. 2015

Monday, March 16, 2015

2015 Trends– Self-Service BI, Cloud BI, Mobile BI

The demands placed on business intelligence are increasing. Business information needs to be flexible, fast and accessible from anywhere. Market and user organizations have reacted with range of technologies and utilization concepts. One proven method that is currently the focus of much discussion is "self-service BI", which lets end users create analytical queries and work with corporate information while freeing up the IT department. It promotes the use of easy-to-use tools and a BI strategy and infrastructure that is adapted to flexible use, helping to maintain the balance between governance and uncontrolled growth. Along with the desire to use BI applications more flexibly, comes the need to increase the flexibility of the technical platform. Here, the use of BI in the cloud is the object of growing interest.

Tuesday, March 17, 2015

Customer Processes, Customer Requests, Analytics

In today’s world, service, marketing and sales need to be organized so that they remain effective and help the business sustainably improve in the face of complex customer activities and channels. What this actually means for companies in terms of strategy, organization and technology is the focus of this track. In addition, the new "BARC CRM Survey" provides exclusive insight into current market developments. A second focus is on analytic applications. Currently, these are becoming increasingly important, not only in marketing but also in many other application areas that deal with analyzing and querying large amounts of data. Also known as predictive or business analytics, the functionality and variety of these solutions will be illustrated along with the use of social media analytics.

Wednesday, March 18, 2015

Digital Transformation, Industry 4.0 and Big Data

The central theme at CeBIT this year is d!conomy, focusing on how digital technologies are changing our economy's business models and processes. The so-called Fourth Industrial Revolution (Industry 4.0) is transforming the entire production system by integrating intelligent machines and products, storage systems and resources along the entire value chain through the means of IT. The communication between smart machines and devices creates large amounts of business-relevant data. This can be collected and evaluated in the future using Big Data infrastructures and analytics to establish new opportunities for growth and resource efficiency. This track will illustrate these revolutionary developments and, in particular, highlight their impact on data management.

Thursday, March 19, 2015

Performance Management, Planning, Analysis

Performance management refers to methods, metrics, processes and tools for planning, measuring and managing the performance and profitability of companies at the strategic, tactical and operational levels. Reporting and analysis form the backbone of performance management and encompass all aspects relating to the provision of information to internal and external interest groups. This track will demonstrate how individual components interact, what modern planning and reporting look like today, and how analysis software works.

Friday, March 20, 2015

Data Strategy and Data Management

How does one deal with rapidly increasing amounts of data, different data formats, and the new demands placed on data management without taking technical, financial or legal risks? The prerequisite for any successful data management transformation is a data strategy that is worthy of the name. Only then can new approaches and techniques in data management such as those for the utilization and analysis of Big Data be tested and integrated in a sensible way. Only through the use of a common regulation framework does the data remain consistent, and the architecture both stable and flexible. However, even data strategy remains theoretical if companies do not create the right organizational conditions.

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