Cost optimization is still an important and continuous field for many CIOs. In order to make an organization successful, it is necessary to reduce business cost while balancing IT cost and investment technology.
Digital business needs a new approach to application development. Application leaders skillfully deal with the challenges of traditional applications while introducing contemporary agile practices, design methods, destructive technology, and ongoing quality thinking models to transform the development strategies of the digital age is needed.
According to Gartner's glossary, opportunities called digitization are created by converting business models using digital technology to increase revenue and value. In other words, companies can use technology to interact with people and meet specific needs exactly. Digitization allows you to gather information from today's automation process. These collected figures and data are processed and these collected metrics can be applied to optimize business results. Use information from multiple sources (mobile devices, social media platform, operational data, even GPS devices etc.) to gain detailed insight into the problem and reduce downtime.
Predictive analytics is often considered a combination of statistical analysis, mathematical modeling, and data mining. Online Gartner Information Technology glossary defines predictive analysis as a method of data mining including four basic attributes (2013). The basic forecast analysis attributes are as follows. Fast analysis, with emphasis on forecasting and measured in hours or days. As a result, it makes the lens look better, or easier to use, to provide business users with access to predictive analytical tools. According to Gartner (2013), the term data mining includes "a process of discovering meaningful correlations, patterns, and trends by filtering large volumes of data stored in the repository". In Gartner's glossary, it continues to be clarified that "pattern mining technology is used in data mining as well as statistics and mathematical methods" (2013).
As a corporate research firm, Gartner talks a lot about these predictions in relation to large companies, but there are many trends that will undoubtedly influence SMEs. Here are five major technology forecasts by Gartner since 2016 and how it will affect growth business. Large enterprises have the necessary resources to dramatically develop state-of-the-art technology. In contrast, SMEs known for agility are more likely to adopt and adapt these technical changes quickly.