Secondary

Secondary literature search and review helps to understand complex problems in the perception of contemporary researchers. The aim is to unravel multi-dimensional challenges through a deep study of critical results published in the past.

How secondary data can escalate your goal?

An essential component of every research study is creating a situation analysis using secondary data. It helps design strategies for benchmarking and segmentation.

Segmentation

In an extraordinary complex market environment, segmentation helps identify the right consumers. With a systematic review, segmentation can be specific to requirements. Resource allocation by consumer demographics and behavior is also achievable with it.

Customer portfolio management for a better relationship

Customer portfolio is a list segmented into the various groups of customer that a business should build relationships with. It is basically a... More

A suitable partner selection to validate CRM implementation

Having built the CRM project foundations, the next phase involves the specification of needs for the CRM and selecting the right suitable partner... More

How personal trait influence online consumer behaviour?

Personal traits reflect some important characteristics of an online consumer like an attitude, self-image and perception.

Situation Analysis

Situation analysis is helpful to assess the marketplace for competitiveness using SWOT, PEST and Porter’s Five Forces. It involves an analysis of internal and external factors that impact a business. It also involves strategy building and framework development using an expert’s opinions to identify the business’s capabilities.

Successful implementation of a new CRM strategy

In order to implement a new CRM strategy, a business should first be capable to identify the outcomes of its business operations from the new... More

Impact of R&D investments in the pharmaceutical and AYUSH industry

R&D investments are an important component for driving the sales and distribution of the pharmaceutical drug market (Pammolli, Magazzini, & Riccaboni, 2011).

Impact of international policies on the Indian Indian drug market

The drug market in India not only manufactures drugs to be used in the country but also for export to other countries of the world (Basak,... More

Trend Analysis

Involves the identification of meaningful patterns in data to forecast or predict lucrative futures. Key insights based on sales, consumer behavior and technology steer ideas towards opportunities and innovations. Trend analysis helps to make the right decisions with the right insights driven by peer-reviewed research metrics.

How to predict and forecast using ARIMA in STATA?

After performing Autoregressive Integrated Moving Average (ARIMA) modelling in the previous article: ARIMA modeling for time series analysis in STATA, the time series GDP... More

How to test time series autocorrelation in STATA?

This article shows a testing serial correlation of errors or time series autocorrelation in STATA. Autocorrelation problem arises when error terms in... More

Lag selection and cointegration test in VAR with two variables

The previous article showed that the three-time series values Gross Domestic Product (GDP), Gross Fixed Capital Formation (GFC) and Private Final Consumption... More

Meta-analysis

As results vary across studies meta-analysis combines data from different texts to identify commonalities and derive a meaningful conclusion. It benefits clinical studies by observing the findings of different sample sets. Such a synthesis strengthens the conclusion of a study and finds critical limitations in the data.

PRISMA for systematic reviews and meta-analyses

The PRISMA framework or Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA), is a set of guidelines or steps... More

Application of Meta-analysis in disease intervention research

Meta-analysis is a statistical technique that combines the findings from independent studies, such as clinical studies, epidemiological studies and intervention... More

Government policy effectiveness against malaria using meta-analysis

Meta-analysis study was conducted by using Comprehensive Meta-Analysis (CMA) to assess the government policy effectiveness under the 5-year plan scheme... More

Addressing a larger need for better decision-making capabilities

Secondary data analysis requires access to credible and global research from where relevant information can be extracted. We keep our database up to date to minimize chances of bias in findings and to provide a holistic, 360-degree view of critical problems. 

The formulation of frameworks requires the intervention of experts who have handled such data in the past. Our analysts are experienced in treating myriad data to create meaningful findings and envision actionable strategies and frameworks.