Quantitative analysis

Accumulation of quantitative data with complex structures has formed big data pools across the world. The quantitative data can be in different forms such as text, images, and audio. It can be from multiple sources such as financial statements, sales records, employee performance and social media pertaining to consumer sentiments. Statistical data can be particularly powerful due to the flexibility it offers in testing and applicability.

Weaponize quantitative data to

Improve returns on investment

Data obtained from annual reports can help to detect operational and strategic inefficiencies. The goal is to identify product segments that are profitable and investment decisions that worked as opposed to those that didn’t.

Forecast trends and identify problems accurately

Cash flows, market performance and human resource data can uncover patterns an trends using machine learning algorithms such as root cause analysis of failures, seasonality of market demand and cost of operations.

Harness market knowledge

Quantitative data can help to identify the causal relationships between a business and macroeconomic indicators such as inflation, unemployment and economic growth to know how a model works.

Understand buyer sentiments

Machine learning solutions can prove effective in saving costs by optimizing resource allocation and usage. Multiple models can be tested in parallel with historical data to understand the semantics of the future.

Our work with quantitative data in different verticals

It takes years of experience and skilled minds to understand statistical data to amplify accurate results. We put innovative technical solutions to work and solve complex problems. With our experience in solving complex problems, we can derive actionable insights and values from raw datasets.

Education

With our experience in solving complex problems, we can derive actionable insights and values from raw datasets

Healthcare

Our experience with epidemiology has helped healthcare industrialists to make informed future planning.

Fintech industry

With our experience in solving complex problems, we can derive actionable insights and values.

Real estate industry

With our experience in solving complex problems, we can derive actionable insights and value

Customer churn prediction

With our experience in solving complex problems, we can derive actionable insights and value

Supplier performance evaluation

With our experience in solving complex problems, we can derive actionable insights and value

Human resource performance insights

With our experience in solving complex problems, we can derive actionable insights and value

Demand and supply forecasting

With our experience in solving complex problems, we can derive actionable insights and value

360-degree analysis process

80% of the project time is devoted to Data extraction, cleaning and processing. We deliver value by a clearly defined work process that helps to anticipate the outcome faster and more accurately.

Brainstorm the situation and goals.

An initial layout is drawn to define the understanding of goals and scope of work.

Data extraction and cleaning.

Our team of trained analysts uses RapidMiner and OpenRefine to unclog messy data.

Derive accurate results.

Detect outliers or predict using supervised and unsupervised machine learning techniques with tools such as

Learn to analyse with Sata.
A comprehensive data analysis package that is extensively used in data science.

Learn to analyse with SPSS
This module helps to learn statistical analysis using the SPSS statistics software.

Data visualization and presentation.

Presentation of the results in the form of graphs, tables, and charts. Secondary data is used to support the primary findings of the tests.

Formulation of actionable strategies.

Basis the results of the data, multiple rounds of discussions are conducted to build actionable strategies to satisfy the goals.