Smart data discovery is not dependent on a few geniuses sitting in a science lab somewhere! With appropriate data discovery tools your team members can leverage their knowledge of their role and domain, and the needs of their division, team or business unit to find the data and insight that is most meaningful to them.
Business Intelligence isn’t new but the way we gather, analyze and digest this intelligence is definitely changing. In the past, business intelligence was delivered to senior executives by IT and/or business analysts. The combination of a fast-paced business environment and a limited budget and limited resource reality means that most organizations must optimize resources and time to produce results. There are few businesses today that have the luxury of waiting for information, data or reports.
Mobile app development has its own unique set of challenges and requirements and should not be seen in the same light as standard app development.
When a start-up or small business looks at its budget and resources, it often concludes that, while data analytics is important to its business, data analytics tools may be too complex, too sophisticated and too expensive to include in its initiatives and programs.
When we use terms like ‘predictive analytics’, it sometimes puts off the general business population. Team members might envision everything from a crystal ball to complex charts and graphs with unreadable numbers and conclusions. While predictive analytics techniques and predictive modeling does include complicated algorithms.
This Client is one of the fastest growing life insurance companies in India and offers a diverse range of wealth management, protection and retirement solutions.
When businesses undertake the development of CMS solutions, eCommerce development or eCommerce integration, they often assign the task to the internal IT team. These tasks are just a few of those that IT will encounter in its day-to-day project load.
There has been a lot of discussion about Business Intelligence over the past decade. Business professionals hear this term in industry conferences and read about it in trade journals. But, many struggle to define the concept, so let’s start this discussion with a business intelligence definition.
No business or consumer software application today can ignore the importance of UI development and the User Experience (Ux). Every person is using a smart phone, a tablet or other device today and every person is used to interacting with software to achieve a task. Whether that task involves researching information, buying a product, making an appointment, selecting a service, buying tickets or any one of dozens of other activities, the Ux is one of the most important factors of success for your app development.
Let’s talk about data preparation! That often cumbersome, always complex process by which data scientists and IT professionals gather and prepare data for analysis. Data prep involves the extraction and transformation of raw data to prepare that data for analysis. It includes cleaning and reducing that data by removing outliers and standardizing data formats, among other things. Without data preparation, data analysis can often be misleading and incorrect – garbage in/garbage out, if you will.
