By our Analytics
We are committed to providing solutions that enable companies to innovate with confidence, maximize opportunities and ultimately drive industry forward. We do this via breakthroughs in insights, technology, analytics and intelligence that bring the advances in data science together with the possibilities of analytics

Trend Analysis
Forecasting Models

Trend Analysis
Trend analysis for business improvement

Trend analysis is the process of comparing business data over time to identify any consistent results or trends. We develop a strategy to respond to these trends in line with your business goals.We offer a measurable and verifiable method for businesses to project future outcomes. It can be used for failure analysis and as an early warning indicator of impending problems. Where accurate historical information exists and valid relationships between variables can be established, trend analysis is a precise tool for anticipating events. Trend analysis is used to forecast market trends, sales growth, inventory, levels etc.

Trend analysis helps you understand how your business has performed and predict where current business operations and practices will take you. Done well at Mergen, it will give you ideas about how you might change things to move your business in the right direction.

At Mergen we perform trend analysis using the KPI’s , measuring key financial trends, sales forecast and targets etc which helps to improve your business by:

  • Identifying areas where your business is performing well so you can duplicate success
  • Identifying areas where your business is under-performing
  • Providing evidence to inform your decision making.

Forecasting Models

Forecasting is the process of making predictions of the future based on past and present data and most commonly by analysis of trends. Risk and uncertainty are central to forecasting ; it is generally considered good practice to indicate the degree of uncertainty attaching to forecasts. In any case, the data must be up to date in order for the forecast to be as accurate as possible

Categories of forecasting methods

  • Qualitative & quantitative methods
  • Average approach
  • Naive approach
  • Drift method
  • Seasonal naïve approach
  • Time series methods
  • Causal / econometric forecasting methods
  • Judgmental methods
  • Artificial intelligence methods

Seasonality and cyclic behaviour

We use these different forecasting models in order to arrive at an optimum business solution well suited for the clients’ requirements.

we have an exhaustive database which carries numbers collected from highly credible and up to date market sources. This database is updated on a timely basis to ensure that the you get all the information at their fingertips. We also provide services to cull out data and turn them into meaningful insights needed for accurate decision making by key stakeholders. Our domain expertise have instituitional knowledge across sectors, geographies and companies
By our databases you can access to one of the largest curated databases with innovative privacy protections.