Text | Sailor Brother
This article comes from: Knowing the column " FanRuan Data Application Research Institute " - data dry goods & information center
Recently, Gartner released the "Analytics and Business Intelligence Modernization Primer for 2017" report, which explained in detail Gartner's research direction in the field of BI and data analysis in 2017.
To enable fast and reliable business decisions, organizations need effective analytics and business intelligence systems. This seemingly simple goal is not easy for most companies to achieve. Overall, data and analytics leaders face three major challenges:
1. Need to determine which analytical capabilities are necessary to provide business value;
2. Must manage emerging roles, skills, and expertise that enable analytics teams to perform their duties and, where appropriate, provide training to business users to enable them to self-service analytics;
3. Be constrained by existing attitudes, processes, and technologies when creating agile analytics solutions that directly support digital business initiatives.
Gartner's goal is to provide decision-makers with analytics at the critical moment of decision-making, helping enterprises to act quickly and effectively in an information-driven environment where data sources, types and volumes are constantly changing, and become data-driven enterprises. Therefore, Gartner always stated in this report that he will look at how to create digital business value from four dimensions: strategy, practice, technology and product, so as to help Chinese enterprises and organizations closely combine analysis investment with strategic business goals and evaluate analysis technology trends. , services and new products. FanRuan Data Application Research Institute will also track and interpret Gartern related reports for a long time to help CIOs effectively explore, mine, analyze and utilize data, and make data the productivity of enterprises.
The following are the specific research plans of Gartner in the BI and data analysis field in 2017:
1. What fundamental analytical capabilities are required to deliver business value?
Describe the impact of emerging technologies such as deep learning and intelligent data discovery.
To analyze the major vendors of the various analysis software and services market.
Discover new and great suppliers and analyze the impact of important product launches from market leaders.
2. How do you develop, invest and build modern analytical skills in your organization?
Develop a sourcing strategy for analytics expertise: How to develop a training program to develop your existing analytics talent, how to identify the analytics talent you need, and which service providers to partner with.
How businesses can develop the right soft skills to ensure the full potential of analytics in business decisions.
How to choose the right organizational structure to ensure the productivity and effectiveness of full-time and self-service analysts.
3. How to create agile analytics solutions that directly support digital business scenarios?
How businesses can leverage emerging analytics technologies like AI to do things that were previously impossible.
How businesses use analytics to solve traditional problems such as performance management, customer retention, and risk mitigation.
Best practices on how to successfully use emerging data types such as IoT sensor data streams or user-generated content videos.