Revamping the Federal IT Ecosystem
Accelerating the Digital Transformation with Cloud Computing
Designing the IT Organization for Service Management
Revitalizing IT with Strategic Planning
Collaboration: The Key to Progression
Cletis Earle, CIO, Kaleida Health
Acknowledging the Great Power of Modern Technology
Joyce Jinde Edson, Deputy CIO & Asst Gen Mgr, City of Los Angeles
Gaining 360 Degree View of Consumers
Sahal Laher, SVP, Chief Digital & Information Officer, Destination XL Group, Inc. [NASDAQ: DXLG]
Predicting a Better Future for Students
Brian A Haugabrook, CIO, Valdosta State University
Extending BI Usage beyond Data Professionals
Today, a vast number of businesses are looking to spread the value of business intelligence(BI) tools to its users. The BI solutions are no longer restricted to the data professionals or data scientists. This very trend is changing the way BI solutions are being built. According to Gartner “modern BI solutions spread easily to use analytics along with visual data discovery capabilities to the users all across the organization.”
The research firm has also predicted that after this trend of BI analytics slows down, something is known as "augmented analysis" will bring about the next big change and improvement to the business intelligence platforms going forward. Augmented analysis has been described as a paradigm that includes natural language query and narration, augmented data preparation, automated, and visual-based data discovery capabilities.
The experts have predicted that by 2020 augmented analysis will be a dominant driving force behind the business analytics purchase, data science and machine learning platforms. The augmented analysis is expected to continue the evolution that started with visual analytics and shifted to self-service analytics and BI. These two particular features have made insights more accessible to the public within the enterprise. Gartner has also created a series of strategic planning assumptions that point towards the significant changes and improvements to analytics and BI platforms in the next two years, making them even easier for end users. Some of the points are
• The users of modern BI and analytics platform will grow twice the rate and deliver two-times the business value by the end of 2020.
• By 2020, natural language generation and artificial intelligence will become a standard feature
• By 2020, it is also expected that the number of data scientists will grow by five times
All these additional factors will enable the BI platform to become more affordable, and easier to use in the future.