Maximize business intelligence to unleash big data value

Few organizations question the great value that big data and analytics can bring, but the most important question is how to quickly unleash the value of big data on a sustainable basis without the need for huge upfront investments.

Businesses have been unable to cope with the rapid growth of unstructured data and sensor data in both quantity and variety. As a result, they urgently need to enhance the expertise and capacity of big data analytics to stay competitive. In today's customer-first era, the analytical and data-driven insights of industrial scale are key to the survival of the enterprise, and data must be processed in real time. This is also a challenge for most businesses.

A survey by Forrester research shows that business intelligence (BI) is the most important software project in the 2013 Enterprise project plan.

Data-driven and agile businesses can transform how customers and employees interact and lock in new opportunities. Enterprises that fail to modernize and do not take full advantage of these new data dynamics will be exposed to the risk of competitive advantage.

Modern businesses are expected to continue to provide better products and services, improve operations, manage risk better, and develop new business models to stay relevant. To stay ahead in this environment, businesses must be able to analyze and efficiently use all relevant data, from new sources such as people, machines, and transactional data. So that employees and partners can continue to innovate.

"As the volume of data continues to grow, the ability of companies to use and create value from the data continues to improve, and the company will be able to optimise all aspects of almost business operations, including sourcing, logistics, and customer experience," The Forrester research report said. In addition, major developments such as the digital revolution are revolutionizing the industry, so data-driven insights will be critical to the survival of the enterprise. Therefore, business intelligence analysis will be one of the key areas of enterprise investment and business strategy in the present and future. ”

The analysis and reporting provided by the traditional business intelligence environment is often based on the data from the completion of the transaction to obtain enterprise performance and analysis reports. As a result, traditional systems do not derive insight from new forms of industrial scale and large amounts of data. Because of the lack of this technology, many businesses today are unable to leverage data or share relevant data across the enterprise, which can impact business agility and competitiveness. Addressing these challenges can be extremely expensive and often prohibitive, especially for businesses that are eager to quickly become data-driven and agile.

Through the "as a service" approach, the enterprise no matter at which stage of transformation, no expensive upfront investment can be changed.

A successful business intelligence modernization strategy requires three core elements. One is that environmental discovery will address the challenge of "how to share data with more employees" so that they can make data-driven and agile decisions. These environments include data pools (repositories of raw data based on local formats), data visualization tools, and services that enable rapid data sharing and analytics collaboration across the enterprise. The second is that analytics solutions will support specific requirements to operate the business more efficiently, whether it is helping customers build new projects or targeted improvements to existing projects. Third, hybrid data management services enable enterprises to pursue business innovation through industrial-scale analysis. By integrating it into business processes and systems, businesses can take full advantage of all relevant information, whether it comes from intra-enterprise trading systems, social, sensor information, or mobile data.

Through the "as a service" approach, enterprises can solve the problem of outdated infrastructure. If this approach is flexible and open, it can integrate the strengths of current business intelligence investments with the latest analytical innovations to deliver true business value. This flexible consumption model allows enterprises to quickly seize the potential business opportunities brought by traditional and new forms of data. Modernization is imperative, and important milestones need to be established as soon as possible. For example, setting up an Environment discovery feature in a data pool can take at least two weeks, especially when using cloud technology, followed by the introduction of new analytics solutions.

In just 12-18 weeks, a reliable, data-driven business intelligence environment can be put into operation, significantly reducing TCO and improving service level agreements.

The Business Intelligence Modernization program, which integrates software, hardware, and consulting services, reduces predictable costs and builds capacity and differentiation across the enterprise. The transformed environment will have the following advantages: Sharing data across the enterprise, conducting embedded analytics, gaining new insights to improve operations and decision-making processes, and providing comprehensive guidance in real time, mitigating risk, discovering environments and "as-a-service" deployment models to configure quick-enable options, business agility, enhanced competitive advantage and customer engagement.

With the increasing of data volume, the urgent task of enterprise development is to improve the data processing ability. By modernizing business intelligence and by particularly strengthening the "as-a-service" model, businesses can protect themselves from the effects of old infrastructure without the need for significant upfront investment. By using industrial-scale analytics and data-driven insights to unleash the power of data, organizations will be able to optimise every aspect of their operations, which is critical to the next wave of business innovation.

Power-bi Business Intelligence Online Experience: http://www.powerbi.com.cn/

Maximize business intelligence to unleash big data value