Data Analytics


Data Analytics


Vista is a reliable outsourcing partner for organizations that want to get insights from their data while skipping the technicalities. We handle the big data engineering infrastructure and apply advanced data analysis to provide our customers online or semi-online reports, notifications, and predictions. The companies that make use of our managed analytics services -implemented based on RABIT- can prioritize on accurate planning of their resources, activities, and optimization of their business processes.

Core Analytics

data mining methods in Vista

  • Descriptivewhat has happened and is happening?
  • Prescriptive find the best course of action for a given problem
  • Exploratorywhat hidden information exist in data?
  • Predictive what will happen in the future

We use SUMIT framework for analyzing data which helps us to :

  • Reusable and modular analyzing components
  • Streaming analysis and visualization
  • Notifications to identify anomalies
  • Big data analysis on commodity hardware

We also use appropriate statistical methodologies for data analysis modeling

Machine Learning algorithms

Classification, Clustering Models

Time series analysis

Summarization and data Visualization

Regression, Correlation analysis

Principle Component Analysis

We have these roles in Vista data analytics team:

Data Analyst

Deliver value by taking data, using it to answer questions, and communicate the results to help make business decisions

Data Engineer

Build and optimize the systems that allow data scientist and analysts to perform their work.

Data Scientist

Discover hidden insights in data by leveraging supervised and unsupervised machine learning models

How Vista data science services works:

  • Understand the decision-making needs of the business
  • Construct measures to support business decision-making
  • Capture data in transactional systems to allow tracking of measures
  • Engineer data for regular reporting and analytics of measures
  • Conduct analysis to address business questions
  • Translate analysis for the business consumer with visualization techniques