Analytics
Analytics
Business Intelligence
Business intelligence is a technology-driven process for analyzing data and presenting actionable information to help corporate executives, business managers and other end users make more informed business decisions.
Business Intelligence includes software applications, technologies and analytical methodologies that perform data analysis. This may include but not limited to, Data mining, text mining, reporting, querying and data visualization.
The applications are vast, ranging from fraud detection to studying correlations between user demographics and shopping patterns to determining airline flight scheduling.
Data warehouses are developed by several leading software applications development companies such as Microsoft, Oracle, SAS, IBM and others.
It’s product range includes a number of industry specific solutions ranging from Financial Intelligence, IT Management, Merchandise Planning, Risk Management solutions covering industries as diverse as Government and Education, Financial Services, Manufacturing, Life Sciences and Telecom services etc.
Business Intelligence
Business intelligence is a technology-driven process for analyzing data and presenting actionable information to help corporate executives, business managers and other end users make more informed business decisions.
Business Intelligence includes software applications, technologies and analytical methodologies that perform data analysis. This may include but not limited to, Data mining, text mining, reporting, querying and data visualization.
The applications are vast, ranging from fraud detection to studying correlations between user demographics and shopping patterns to determining airline flight scheduling.
Data warehouses are developed by several leading software applications development companies such as Microsoft, Oracle, SAS, IBM and others.
It’s product range includes a number of industry specific solutions ranging from Financial Intelligence, IT Management, Merchandise Planning, Risk Management solutions covering industries as diverse as Government and Education, Financial Services, Manufacturing, Life Sciences and Telecom services etc.
Predictive Analytics
Predictive Analytics allows organizations to use their data to make better informed decisions by arriving at reliable data-driven logical conclusions about their current and future events.The predictions are based on a variety of Data Mining, Statistical, Game Theory and Machine Learning Techniques. Predictive Analytics enables the organisations to have a 360 degree view of their customers and businesses by identifying their issues proactively in real time and addressing them at the right time to get the best outcomes.
Sentiment Analysis
Sentiment analysis allow organisations to track positive and negative reviews of their brands by identifying the tonality of key conversations, issues and trends surrounding their business in real-time. It involves text analytics, linguistics and natural language processing to determine and dig subjective information from online materials. It tracks positive and negative spikes from a high level view, or more specifically by using custom reporting to drill down by date, topic, influencer, language, region among other parameters.
With Sentiment Analysis, businesses can quickly identify positive talking points around their brand to measure, inform and evaluate their digital strategy. Conversely, they can identify negative conversational threads and emerging threats to reputation. By engaging in sentiment analysis, companies are able to monitor overall performance especially on their online presence, benchmark performance against their competitor set and identify shifts in sentiment over time.
Sentiment Analysis
Sentiment analysis allow organisations to track positive and negative reviews of their brands by identifying the tonality of key conversations, issues and trends surrounding their business in real-time. It involves text analytics, linguistics and natural language processing to determine and dig subjective information from online materials. It tracks positive and negative spikes from a high level view, or more specifically by using custom reporting to drill down by date, topic, influencer, language, region among other parameters.
With Sentiment Analysis, businesses can quickly identify positive talking points around their brand to measure, inform and evaluate their digital strategy. Conversely, they can identify negative conversational threads and emerging threats to reputation. By engaging in sentiment analysis, companies are able to monitor overall performance especially on their online presence, benchmark performance against their competitor set and identify shifts in sentiment over time.