From the Blog

Why Statisticians and Market Research Firms Determine Sample Size Before Data Collection?

October 9th, 2017   |   Data Collection   |   Chirag Shivalker

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. With only 5% chance of your sample […]

Data Visualization; Everything About Presentation of Data in a Pictorial or Graphical Format

September 22nd, 2017   |   Market Research & Analytics   |   Chirag Shivalker

Huge amount of data and access to information, are driving artificial intelligence and digitization change that has taken industries across in a stride. But all the data and all the information derived from it can become a big time liability – if their purpose and outcome is not understood and aligned to organizational goals. It […]

Infographic: Do you Trust Your Data?

September 19th, 2017   |   Market Research & Analytics   |   Chirag Shivalker

Utilizing data and analytics can result in new insights to drive smarter decision making. But the true value in those insights relies upon on the quality of the data. Increasing data volume, variety and velocity makes it more complicated to establish veracity. Are you 100% confident that your decisions are being made on trusted result?

Client Profiling is not A Persona, But A Customer’s Journey

September 15th, 2017   |   Market Research & Analytics   |   Chirag Shivalker

Client persona though based purely on extensive research and solid data in form of facts and figures; upon studying the demographics, one tends to define clusters based on similar characteristics. Important aspects of each cluster are then infiltrated, but only to reach out to a fictional character

Spreadsheet Reporting is Powerful; But Does It Meet Needs of a Customer Centric Business?

July 21st, 2017   |   Market Research & Analytics   |   Chirag Shivalker

Numerous projects that our data processing experts worked on in last few years had one thing in common. Each of those projects were about dealing with complicated spreadsheet driven data manipulation and reporting process, where the company as in our client, had outgrown the process already.

Acknowledge Unsung Heroes of Marketing and Lead Generation

May 29th, 2017   |   Market Research & Analytics   |   Chirag Shivalker

Time and again it is proved that the data an enterprise or business uses for effective lead generation is and will always be the single most important factor. It determines the outcome of not only a marketing campaign, but also the overall sustainability and success of any organization is the quality of data.

BPM Partnership; Mindset & Not the Toolset Ensures Success

April 20th, 2017   |   BPO Support   |   Chirag Shivalker

Business Process Management is a structured, coherent and consistent way of understanding, documenting, modelling, analyzing, simulating, executing, measuring and continuously changing end-to-end business processes and all involved resources in light of their contribution to business improvement

What If You Don’t Outsource Invoice Processing?

March 23rd, 2017   |   Data Processing   |   Ritesh Sanghani

No doubts that the old school invoicing and payment methods that your organization has been following for years, works fine and has proven its potential. But we are hopeful that your organizations; as a matter of fact every organization across the globe, is always looking for a more efficient, scalable, money saving invoice processing.

More Companies Are Adopting Document Management Solutions; How About You?

March 14th, 2017   |   Data Processing   |   Ritesh Sanghani

Last month Gartner announced that they will stop utilizing the term Enterprise Content Management – ECM, which was in existence since last more than 17 years now. Instead, they would now use Content Services – CS. As such on second thoughts, ECM is less about technology, and more of a strategy. Fortunately or unfortunately.