Tailored Solutions for Diverse Sectors.

Financial services firms around the world are rapidly innovating. In fact, the birth of FinTech as a sector has pushed traditional financial services firms to speed up their innovation efforts, using next-generation technologies like AI and data analytics to automate several key processes.

This is true for all kinds of financial services firms including asset management firms, investment banks, private equity firms, insurance and reinsurance companies, brokerages, lending firms, and even commercial real estate and automobile financing companies.

Irrespective of the type of product or service your organization offers, data has become one of the most important assets to drive decision-making. Business leaders in financial services are using data analytics, advanced and predictive analytics, and even AI to spot patterns and trends. These trends combined with predictive analytics models help derive unique insights. From cross-selling and up-selling various financial products or services to enhancing customer experience, easy access to operational reporting and analytics has become the key.

Additionally, it is also becoming more important to use data to drive decisions around organizational structure, payroll, and other HR-related functions.

Manufacturing companies across sectors including automotive, industrial, aerospace, and energy are generating vast amounts of data from their ERP systems. This includes everything from shop floor and supply chain data to administrative, payroll and financial information. With the advent of IoT-enabled manufacturing and Industry 4.0 solutions, leaders in manufacturing are using data from across the lifecycle of the organization to garner insights. Converting this data – from machines, people, and processes – into meaningful insights can act as a key differentiator for manufacturing decision-makers. By converting voluminous operational data into “easy to use” charts, graphs, and intuitive visualizations are essential to driving efficiency into operations and planning for the future.

Public sector organizations and government agencies around the world often deliver their services to millions, if not billions, of people. These include various organizations including public transport companies, government-run educational institutions, healthcare, and insurance organizations.

Additionally, considering the scale and volume, data will reside in numerous business systems, ERPs, CRMs, and a range of databases. But business leaders in government and public sector organizations must have access to a single source of truth that brings in all data together. A business intelligence(BI) dashboard that brings to the fore data from various silos makes it easy to analyze facts and make decisions for the future.

Data is at the heart of driving efficiency into the transportation and logistics sector. By using the right reporting and analytics tool, business leaders in this sector are able to streamline processes, improve the efficiency of operations, and improve profit margins.

In the transportation sector, there are a number of data sources including delivery schedules, modes of transportation, volumes by vendor, volumes by location, insurance data, customer data and so on. The key is to leverage data from all these sources to garner insights, make critical decisions on several areas and overall improve margins.

Schools, universities and higher education institutions generate massive amounts of data on a daily basis. This includes payroll data, student information, details about faculty, budgets and financial information. But all this data is stored in silos across different departments or campuses.

Bringing together all this data into a single data warehouse that serves as the single source of truth is critical. Once this is done, decision-makers at educational institutions can harness the full potential of data to spot trends and make key decisions around budget, student engagement, faculty enrollment, classroom management, and several other areas.