Business Intelligence (BI) would embrace a fresh strategic dimension in 2015 with a number of groundbreaking approaches appearing on the horizon. These trends would radically transform the BI landscape and turbocharge the efficiency, responsiveness, engagement quotient and the bottom line of organizations.
The prominent trends that would rock the BI space have been captured in a nutshell over here.
New data governance policies would emerge to keep pace with self-service analytics
Organizations would factor in the transforming landscape of business intelligence to better understand data governance in an era of self-service analytics. New breakthroughs in data security would be achieved to keep sensitive information safe while permitting relevant persons to seek needful answers from data.
Modernizing and Improving data collection approaches with BI
Strategizing the data collection methodology will provide a higher grade of quality and increase the number of respondents. A good quality data collection process will depend upon the implementation of instruments and procedures used in the process. Before collecting data a relevance check would filter the additional non-required details.
Data cleansing process would raise their accuracy standards
A well-known strategy applied in the healthcare sector to maintain data standards with great accuracy. Major concerns in maintaining the quality of data related to its level of potential. With the introduction of new tools, it would be easy to focus on a specific domain and eliminate the duplication from the system.
The amalgamation of social intelligence with BI
Social conversations would be tracked by companies to get decisive insights into the time when a preferred topic starts to trend and what business prospects opine about the same. Social business intelligence would help market leaders optimize products responsively in a proactive manner by sensing the mercurial mood of the consumers and strategizing for the future accordingly.
Data Analysis would trickle into the ‘rank and file’ layer
Data analysis would descend to the level of the common user owing to the pervasion of web-based analytics that provides easy accessibility, scalability, and usability. The role of data scientists would shrink and remain confined to convoluted analysis. Companies would foster everyday analysis by offering apposite tools and training to users.
Software products would depend on BI users’ approval
IT products that are meant for motivating and empowering the data user communities would be preferred. Potential consumers would choose BI products that have a proven track record of promoting the health and happiness quotient of the user communities.
Standardization of swift integration of BI systems with other tools to leverage simple systems
Movement and management of data through multiple logins and clumsy systems would become obsolete. Organizations would progressively adopt systems that can be accessed through single sign-ins. Applications that cannot be integrated with other tools for seamless operation in a larger ecosystem would not be accepted.
The shift in cloud analytics use
Cloud analytics would no longer remain confined to the apps floating on the cloud only. Companies would rely on the cloud for analytical needs only when the business purpose would be optimally served by doing so; and not merely because the data is piled up in the cloud.
Organizations are set to sweat the data optimally to glean more insights by promoting a collaborative approach wherein data would be explored collectively for better engagement of managers and swift actions. Agile and swift BI tools would be used frequently for analyzing data, mingling it with other data and redesigning the same.
Numerous mobile BI analytical tools that have surfaced years ago would gain maturity, thus empowering managers to interpret data on the go over their smartphones without compromising on efficiency. The BI tools across the board would become more intuitive, amenable to analysis and natural.
