These five ‘Data as a Service’ companies are creating a wave of innovation amidst COVID crisis

In a digitally unified business environment, access to data and networks is of utmost importance as the analysis of data cannot be adversely affected by disruptions in business services. DaaS or Data-as-a-Service is transforming data analytics functions across industries.

This revolution has been fuelled by the current remote work conditions across the world. Even so, the scale and rate of data generation by digital platforms, social media, financial transactions, media, and IoT is increasing the demand of data access and interoperability across DaaS platforms.

Here are 5 ‘Data as a Service’ providers who are driving wave of innovation –

• Crediwatch – Crediwatch is a ‘Data Insights-as-a-service’ company that provides lenders, businesses with actionable credit intelligence on private entities they need to improve trust and increase their lending and trading activity. Crediwatch does this with no human intervention by deploying the latest practical AI and technology tools that provide the most reliable comprehensive real time inputs. Having provided insights on 50,000+ businesses and $7 billion loan portfolio, Crediwatch aims to fill this void by offering a dynamic “Trust Score” derived from millions of data points that are extracted and analysed across thousands of formal and alternative sources to help lenders assess borrowers and monitor them close to real time.

• Ugam Solutions Pvt. Ltd.  –  leading next-generation data and analytics company, Ugam has a customer-centric approach that helps companies in making superior data-centric decisions by blending democratic data, deep domain knowledge and JARVIS which is Ugam’s proprietary cognitive computing system that leverages a set of machine learning algorithms trained on Ugam’s enriched database. It differentiates itself in its unique ability to blend all data types, analytics and technology, and its rich expertise in the field. Ugam’s offerings include analytics tools such as SKU Rationalization for Merchandising, Macro Space Optimization and Store Performance Scorecard for Stores, Price Intelligence and Optimization, Promo Planning and Digital Intelligence.

• Analytic Edge – Analytic Edge has 5 analytics offerings — Demand Drivers, Market Kaleidoscope, Test & Learn, Loyalty Analytics and Market Basket Analysis. Demand Drivers delivers two powerful capabilities for brands – real-time marketing insights, and do-it-yourself interfaces that allow clients to run analytics on demand without external dependencies. It addresses the current challenges of the Marketing Mix Modeling solutions and leverages machine learning, automation and advanced analytics to enable real-time and actionable insights that brands can use to regularly adjust their marketing campaigns on-the-go. It has built an easy-to-use, do-it-yourself interface for Marketing Mix Modeling.

• IQLECT – IQLECT is a hyper-converged real-time predictive analytics and AI platform built over its patented No-SQL Database called BangDB. It is a unified data platform that enables data source agnostic ingestion, real-time stream processing, AI ecosystem, UI-based ML workflows, model management, monitoring, testing and more. It differentiates itself in being a simple and unified platform that has both on-premise and cloud offering. It has 10 analytics products across E-commerce, Log Analysis, Data Center, Apache Web-server, Click-stream, Linux Server, MongoDB Monitor, Redis Monitor, NGINX Web-server, Shopify Integration.

• Knowledge Foundry – Knowledge Foundry is a bespoke end-to-end analytics solutions firm serving global clients with statistical modelling, machine learning, text analytics, and optimization solutions. It offers customized analytics solutions, especially in computer vision, text analytics and business problems where data has not traditionally been available in a single database. It differentiates itself in bringing a low-risk pilot-based approach to business problems, focuses on customized end-to-end solutions, adopting the agile methodology and being technology-agnostic. It offers marketing analytics solutions including segmentation, media mix optimization, predictive analytics, churn prediction and campaign RoI assessment. Whereas, operational analytics solutions include forecasting, promotional optimization, retail merchandising analytics, fraud detection, and delinquency prediction.