Updated by marketing-236 on May 21, 2019

Business Intelligence & Analytics

Website at https://www.graymatter.co.in/bi-dashboards

Business Intelligence & Analytics.
GrayMatter’s RADIUS Dashboarding Framework – changes data into stories
Role-Based Business Dashboards

Addressing the right KPIs

Domain-Specific Standard Templates

Intuitive, Problem-Solution driven navigation

Uncluttered Visuals with Glance-Through Approach

Seamless and Responsive UI Across Device

Website at https://www.graymatter.co.in/cloud-bi

Seamless deployment of cloud BI platform

Easy integration with on premise systems as well as with different type of cloud platforms like public, private and hybrid

Ensure secure Cloud BI systems with identity management, authentication and authorization

Equip mobile integration allowing users to be connected on the go

Simple, lucid user experience on the Cloud BI platform

Train end users on how to derive maximum advantage from Mobile BI, since a typical Mobile BI platform includes different type of applications

Website at https://www.graymatter.co.in/mobile-bi

In order to maximize benefits from Mobile BI, some key considerations are factored by an expert Mobile BI provider like GrayMatter into its advisory, approach and execution:

Dashboard design approach specific to mobile devices

Fast and stable deployment of BI systems

Secure implementations addressing data protection in device, transmission security, authentication & authorization

Bring your own device enablement to manage and control mobile device registration, access and usage

Enablement of online and offline data, mobile bi dashboards, reports & analyses

Enablement of real-time analyses on mobile

Enabling Cloud based mobile business intelligence

Website at https://www.graymatter.co.in/real-time-analytics

Challenges
Data quality – Real time analytics is based on current data; quality of data is critical. Any discrepancy in data could cause immediate ripple effect across departments and impact the whole business

Data not information rich – The objectives of data analysis should be clear, which would drive a data collection strategy as well as help in crystallizing insights from the data to enable the analysis

Real-time event transfer is complex – Data events need to be transferred in real-time to where they can be processed. Event filtering and aggregation should be done to reduce network traffic and processing time, while preserving the accuracy and optimality of the decision making

Automated v/s human decision making – Manual decisions lead to delays which negates real time analytics while using AI for decision-making needs perfect precision in the algorithms that interpret the outputs

Website at https://www.graymatter.co.in/airport-analytics

Airport Analytics (AA+) optimizes profitability and enhances passenger experience.

GrayMatter’s AA+ is a comprehensive solution addressing enterprise-wide BI & Analytics needs of airports. The solution is role-based and meets decision support needs across levels in every department of an airport.
AA+ is a deployment-ready solution with a 4 weeks delivery promise made possible due to our pre-built airport analytics solution including pre-built data model, extractors, KPIs, dashboards, reports, queries. The solution integrates with 20+ source systems and consists of 10 modules, 48 sub-modules, 100+ dashboards, 450+ KPIs and 20+ predictive models.

Website at https://www.graymatter.co.in/finance-analytics

Finance Analytics (FA+) Solution to meet Strategic,Tactical & Operational Information Needs of your Finance Function.

Benefits:

Rapid implementation leading to lower TCO.
Faster, predictable, guaranteed deployment with 50% less effort and schedule than the regular BI implementation life cycle.
Built for superlative user experience, expedite decision making through advanced visualization , intuitive data discovery and what if scenarios, single interface for Web, Mobile and data access on MS office applications.
Pre-built and established data governance process to promote data quality and transparency as well as reduce redundancies.
Risk Free implementation with prebuilt accelerator like data model, ETL connectors and metadata layer deployed and tested with other customers.
Master data management for data enrichment.