Data sources have changed and increased big time. It proves to be a tedious task to handle humongous data from disparate sources. Presenting the collected data to the right people at the right time, for them to glean insights is a bigger challenge and thus digital visualization.

A famous brand — that has been ruling the market since years and has sort of created a monopoly — Considered almost Invincible — But, gradually starts losing its grip — Year after year loses a great…

Organizations are required to manage documents and it is a challenging task. The way documents are managed has a deep impact on how efficiently your business operates, and ultimately how fast your company grows. Managing documents, keeping a track of each one of them is definitely a costly affair.

Companies and enterprises love to be called "data-driven." Their business intelligence teams don't refrain from including it in their strategy. But do they really know the meaning of being a "data-driven organization"? Though organizations succeed in generating and collecting a humongous amount of customer data, having big databases does not serve as the key enabler in making a business data-driven and digital.

Transformational change in the field of analytic is inevitable. This change has a motto to deepen customer insights, improving operational efficiency, decreasing cost or can be increasing ROI and how to achieve these agendas is only through digital transformation.

Click to learn more about author Chirag Shivalker. BIG Data; though the term is coined everywhere and considered mainstream, is no longer a buzzword. However jazzy the concept of "Big Data" gets, simply having and collecting more data is no longer enough. We have now entered the space where business-oriented "Data Strategies" should be the focus.

Choosing the number of observations or replicates to include in a statistical sample is sample size determination as we all know. It happens to be one of the most important features of any empirical study, where the aim is to make inferences about a population from a sample.

Appropriate data collection is the key to successful marketing Outsourced data collection helps marketers meet the increasing need for personalization, and learn everything they can about their customers. It is the only way marketing efforts of any company can succeed.

Data comes in many forms and all of them are messy. It can be missing data, unstructured data, or data that lacks regular structure. At times it is incorrect, inconsistent, and incomplete; data should be outsourced to cleanse before processing it to improve the quality.