Advanced Analytics
Data Insights
Making informed, data-driven decisions in a modern organization depends on data analysis. Now, the competitive advantage is for organizations that can access and understand large data sets. This includes previously unplanned and "Dark” types of data and information from smart edges.
Advanced Technology
From traditional to advanced analytics systems can help organizations become more informed about customers, processes, and products. Accurate business intelligence (BI) and predictable modeling make it easy to explore new methods and strategies.
Focus on the future
Old statistics often look to the past for a better understanding of historical data. Improved data analysis often takes a forward-looking approach, resolving problems before they arise and predicting the potential impact of early business decisions.
Comprehensive data method
Advances in analytics make it possible to learn more from data sources that have never been used before. This includes images, audio, video, and IoT sensor data, using computer software and software designed to deliver faster analytics performance.
Why Infometry
- Infometry delivers enterprise-scale advanced analytics solutions that monetize your data and infrastructure investments
- We work closely with customers to test the functionality and address any issues
- Proven track record of successful projects
- Provided services top-notch fortune 100 Clients
- Our customized solutions are deployable across traditional and distributed data platforms and are delivered as standalone solutions or as part of strategic end-to-end business intelligence solutions that improve functionality and insight-based decision making
- Satisfied clients in multiple domains
Infometry data scientists have delivered verities of advanced analytics solutions including
- Business process analytics
- Program effectiveness and process analytics
- Online marketing and service analytics
- Customer segmentation, behavior and audience selection modeling
- Contact center optimization; simulation modeling
- Channel and marketing analytics
- Forecasting and predictive analytics
- Geo-spatial analysis
- Time series modeling; enterprise stress testing
- Machine learning and operationalized analytics
Frequently Asked Questions
- Advanced Analytics is a complete set of analytical strategies and methods designed to help businesses identify trends and patterns, solve problems, accurately predict the future and drive change using data-based, factual information. Business needs to be more than Business Intelligence by providing complex algorithms and analytical methods that allow for refined, detailed answers and intelligent and educated decisions.
- If an entity chooses to use Self-serve Advanced Analytics, it promotes user empowerment and user acceptance. It also enables data sharing and allows the organization to generate faster, more reliable data and improve the value of business analysis across the business, democratizing the use of Advanced Analytics and additional guessing tools among business users. As the business world gains the benefits of intelligent data acquisition, these tools have evolved, making it easier for business users and data scientists to collect, compile and analyze data.
- While conventional analysis focuses on understanding what has already happened, improved statistics emphasize the present and the future. Advanced data analysis is also able to analyze multiple types of data on a larger scale than standard statistics, including random data.