Real-Time Analytics,
Improved with AI

ReportIQ is designed with the business user in-mind, catering to most popular Reporting and BI applications. ReportIQ can grow to meet the entire BI continuum, without incurring per user license fee. Effective cost per user is 1/5^th of Commercial BI software enabling users to deploy without cost-of-ownership worries.

Marketers often have to maintain hundreds of promotional offers. With IPOM, a centralized Recommendation engine automates the process of selecting personalized, relevant offers and delivers them on Mobile-App/UPI App in Real-time. It comes with Automated personalization engine that picks the right offer from a central catalogue, applies business rules to easily define which customers are eligible for offers, decide the priority of multiple offers using static and calculated weightings. It also builds rich Customer profiles in real-time, allowing you to deliver more relevant and personalized offers as customer activities change.

BankIQ^TM Receivable Analytics solution is not just a tool; it is a holistic service, providing actionable insights at transaction level to improve DSO. Our clients, therefore, reap granular visibility of lagging and leading key metrics across the Order-to-Cash process that impact DSO and identify opportunities for comprehensive multidimensional drill-down analysis. This enables easy identification of necessary actions to be taken.

Corporate Banking and Risk management applications either have got a backseat or were late starters. A victim of late adoption of digital, is the NPA in loans area, the biggest headache affecting the Indian banking system. Models for re-capitalization, problem loan resolution through IBC and NCLT, overleveraging in large corporate houses are everyday headlines. The increased powers given to the banking regulator(RBI) to clean up asset quality, and to intervene in Banks at an earlier stage when risk builds, represents an important positive step toward ensuring a healthy Banking system in the future. A resolution under Insolvency & Bankruptcy code (IBC) would mean rate of recoveries would be higher than what banks were experiencing so far under the much more protracted routes of NPA recoveries.

BankIQ^TM EWS – Early warning systems, can be an important tool to mitigate credit risks through proactive monitoring. Monitoring Internal factors include diversion of funds, time and cost overruns during project implementation, business failure, inefficiency in management, slackness in credit management and monitoring, inappropriate technology and lack of coordination between lenders. Monitoring External factors include recession, price, escalation and currency fluctuations, changes in government policies, environmental concerns and accident and natural calamities to name a few.

Leveraging its Fast-data features, it can take dynamic input and provide refactoring capabilities to include inputs such as oil prices fluctuations, production level changes, Fx rates fluctuations, cost of production, government expenditures, etc making it ideal for dynamic forecasting which is always up-to-date with changing dynamics.

It can engage data from banks to collect balances through MT940 and 942 reporting, overlay the same with upcoming expenses/pay-outs as well as pay-ins using analytical trends.

Data today is online, in motion, and generated constantly. For architects, developers and their businesses, this means that there is a critical need for tools and applications that can process this data in real-time, generating actionable insights that can drive business value. How? By moving away from batch-centric processing to streaming, Fast-Data pipelines that are fully Reactive.

In today’s always-connected economy, businesses increasingly need to provide data-centric real-time services to customers, such as recommendations, targeted advertising and Fraud Detection. To make these experiences possible, companies have started transitioning from Big-data analytics, where data is processed in batches after collection, to Fast-data-analytics, where data is processed in Real-time to provide immediate insights to companies and their customers.

The SMACK stack–Apache Spark, Mesos, Akka, Cassandra, and Kafka–is establishing itself as a standard for these Fast-data architectures. As the SMACK stack emerges as an industry standard, it is evolving in multiple dimensions and Individual components: Even though the name SMACK is derived from specific components (which are themselves maturing and gaining functionality over time), in practice, data architects will swap individual components of the stack to fit their specific needs.

While often initially considered for fast-data processing, we are seeing SMACK users take advantage of the characteristics of the stack such as platform elasticity for exciting new use cases. The properties of the SMACK stack can help you rethink your architecture, with an emphasis on the impact of current and future changes to the stack and its components.

Stream data processing is about more than just extracting information faster. It’s about embracing wholesale change in how we build data-centric applications. The demands for availability, scalability, and resilience is forcing Fast-Data architectures to become like microservice architectures. Conversely, successful organizations building microservices find their data needs grow with their organization. Hence, there is a unification happening between data and microservice architectures.

BankIQ^TM Fast-Data Platform is uniquely positioned to help Businesses overcome these challenges because of our deep expertise in both worlds, microservices and streaming data.

ReportIQ is essentially a very large collection of capabilities brought together to create a broad Business Intelligence(BI) capability. In fact, it goes beyond the traditional notion of BI to embrace domains such as data mining and BPM. This broad capability has encouraged large companies to adopt it as part of their strategic BI solution. The breadth of the offering is impressive, and each area of functionality is often served by a number of engines to deliver all the functionality that might possibly be needed. It offers a full range of BI capabilities, ranging from ETL to ad-hoc analysis and reporting.

A typical BI solution does not access data in a source system like an ERP package or a financial application directly but usually contains an intermediate database or data warehouse which is better optimized for analytical workloads such as ad-hoc reporting and analysis. In order to get data from various source systems into a central data warehouse, a data integration tool is needed. This class of tools is commonly referred to as ETL tools, short for Extract, Transform and Load. Again, there are many enterprise grade open source ETL tools available such as Kettle, Talend, Jitterbit, Snaplogic or CloverETL. Since traditional closed source ETL tools tend to be very expensive and Open source tools often offer a comparable feature set.

We are helping companies leverage analytics for business value, our Consulting Services show you how to develop the business justification, analytic strategy, ROI, design, implementation, and support structure of your analytical environment. Our deep business, industry, and architectural consulting expertise drives measurable business value not only for BankIQ^TM and ReportIQ products, but also for numerous other industry-leading data and analytics technologies and commercial tools.

With sole focus on data and analytics, SquareOne Insights Consulting Services help clients:

With hundreds of skilled consulting professionals around the globe, our services, consisting of Analytic Strategy Consulting Services and Architectural / Implementation Consulting Services, enable the design and delivery of high-impact data and analytic technology solutions.

Everything you need to demystify the complex and continually evolving streaming ecosystem, so you can successfully design, build and run your Fast-Data applications.