We understand that both the public and private sectors across the world are taking focused initiatives to digitally transform their functional and operational processes and solve their business challenges that would enable them to nurture innovation and creativity, and develop new capabilities to stay ahead. Many of these initiatives do not yield the desired outcome, and may lead to huge financial losses and negative customer experience as well as poorly impacting its own people and processes. This can be due to many factors like lack of preparedness, inadequate analysis of technical, functional and cultural feasibility, pre-determined tools and technology driving the business and operations, over-reliant on external consultants instead of leveraging insiders, inside-out model of designing the customer experience, etc. The success of any digital transformation initiative depends less on the technologies to be identified and adopted, but more on the process and stakeholder involvement being planned to bring about the change.
We assist clients in feasibility and impact assessment along with identification of right candidates for process automation through technology intervention, Business Process Re-engineering to ensure an effective digital transformation, business requirements formulation to reflect needs and experience of internal and external customers, and technology platform evaluation and selection for implementation. These would transform the way a department or agency operates and make them efficient and effective in conducting business.
We understand that the future of traditional BI and data analytics will be heavily influenced by AI, Machine Learning and augmented data management and the top solution providers have already started integrating these technologies into their product portfolios. The BI platform would undergo major shifts towards cloud BI deployments, mobile BI, Machine Learning and Deep Learning powered analytics and stringent data privacy and security regulations. The user experience will be more personalized owing to the intuitive interactions between BI devices and the user, and the real-time location analysis will be fueling greater customer interactions. The focus on managing Master Data and Data Quality from a single unified database instead of multiple disconnected databases will continue to proliferate, and even the highly subjective business decisions will be completely driven by data and insights. The primary challenges experienced by BI implementers are processing of large volume of heterogeneous data from multiple sources, non-integrated reporting and analytics system, attaining the right balance and alignment of organizational, process and technological factors to have a shared goal, lack of integration with legacy and 3rd party databases, and achieving scalability, to name a few.
We assist clients in the transformation of the government reporting framework with the power of data to create dashboards and gain insights for informed decision making and future planning based on predictive analytics. We work with the clients to define data quality standards, prepare integration roadmap, select a modular and scalable system, and provide outstanding customer experience.
We understand that in spite of the continuous rise of digital payments globally and the fast-changing channels of e-commerce payment methods in the digital world, the universal adoption and acceptance of this method across regions are faced with many challenges. They are accessibility to banking services in spite of numerous promotional activities on financial inclusion, acceptable and approved regulatory framework for a national payment gateway in few countries, cybersecurity risk during digital transactions, gaining the trust of consumers by mobile wallet and digital transaction service providers, cash-dependent economy for the unorganized sector workers and lack of bandwidth and reach of technology in various locations. While there is an ever-increasing push towards a cashless economy globally, the protocol pertaining to the implementation of digital payment methods is lacking due to which the penetration level of available technologies is quite low. The recent technology development and trends in this space is mostly around m-payment, contactless payments, mobile wallets, smart speaker payments, improved security and identity management of consumers.
We assist clients in the development of digital payment framework, techno-functional assessment and gap analysis of adoption models that would promote financial inclusion, architecture and implementation of digital payment gateway across different government agencies and assessment and identification of the right technology tools and platform to enable the collaboration of the stakeholders for fast, seamless digital transactions.
We understand that the real value of blockchain technology, a digitalized universal ledger secured by cryptography, lies in building innovative solutions around record-keeping and secure recording of transactions with complete traceability. This is done through consensus of a distributed trust and immutability of linked blocks to the verified history of origin, supported and protected by intricate mathematics. It takes care of the two inherent unresolved issues of the Internet i.e. trust and intermediary. But the widespread adoption of blockchain technology has multiple key challenges like the industry-specific regulatory structure and governance in alignment with this technology, security and privacy of the data stored and accessible on the shared ledger, proven use cases for successful integration of DLT solutions with legacy systems, scalability of DLT networks while maintaining the high transaction speeds, lack of standardization & interoperability to enable cross-blockchain collaboration, transaction and interconnectivity, etc. However, it has the potential of disrupting well-established business models in logistics and supply chains.
We assist clients in piloting the use of Blockchain technology in identified operational transaction areas and business cases within the Agriculture, Healthcare and Finance sector based on our functional, technical, people, data and process assessment. We apply the theory of distributed trust, eliminating a single power to produce balance, easier access and remove middle-man costs.
We understand that IoT (Internet of Things) is not a technology but a complex ecosystem with industry/domain specific implications and innovation with IoT solution would lead to new revenue streams and gain cost savings for all organizations. The connected devices will probably swamp every organization across industries owing to their widespread application possibilities. But their capacity management and security, coupled with data and governance complexity, and lack of consistency and standards across cloud services used by different IoT solutions will become the key challenges for all. Adoption of drones or unmanned aerial vehicles in both consumer and commercial sector is rapidly progressing for its remote tracking, monitoring and data measuring capability, and may become the future of IoT in many cases. Trends show that logistics, transport and public sector will be the leading cellular connected drone users of the future. A few of the key challenges in thre widespread growth of drone usage are stable internet and GPS connection, lack of standardized protocols, obstacles having no wireless signal transmission, and drone-to-drone communication.
We assist clients in the effective and efficient use of IoT devices or sensors for monitoring, control and optimization of domestic energy and water consumption, for security surveillance and road traffic monitoring and control to ease congestion, increase safety and yield better planning, and use of drones for farming and crop production, along with a prescriptive and predictive analytics model for informed decision-making. We work with the client to assess the impact, study the feasibility, identify the right tools and technology platform, and monitor and evaluate the implementation and outcome of any IoT or drone based system.
We understand that RPA is bringing about a fast and radical change in the way many industries have been operating traditionally in terms of digitization of labor using machine intelligence, creation of big data and performing complex analysis, managing social media and solving mobile technology as well as cloud computing issues. This has resulted in the shifting of the organization focus from quality improvement and cost reduction to an increase in agility and scalability. However, the adoption of RPA by various organizations and departments is currently being infused by a plethora of challenges like limited capability of AI and machine learning within the RPA tools leading to reduced scope of automation, lack of ownership and inclusive development of RPA solution, limited application of RPA with respect to handwritten documents and image files, need for complex multi-channel platform and frequent workflow optimization for long term RPA solution. The future trend of RPA shows the inclusion of external and customer-oriented processes as well.
We assist clients in technical and functional impact assessment for implementation of RPA, identification of right business processes within an organization for RPA, defining the architecture of target environment, transitioning to an automation-enabled operating model through adoption of best-fit RPA, managing the new environment to enable fast response to changing requirements of the business, and articulating the RPA interface with different business units along with roles and responsibilities in order to connect the dots for a best-in-class service delivery experience.
We understand that the recent advancement in geospatial intelligence has transformed its use from a locational analytics medium into an information revolution that is going to drastically change the everyday life of human beings and their surrounding environment. The global trend clearly shows that there is a need to regulate the use of technology for better governance and economic progress within the domain of an unbiased and sustainable social environment. Owing to the increasing tendency to bring together data from multiple sources like official statistics, geospatial information, satellite data, big data and crowdsourced data, we believe that the existing users of geospatial technology in government and public sectors have to think beyond maps, mapping and visualization into integration with other data sources, data analytics, modelling and policy-making. Advancement in the interaction of AI/ML with their environment will improve the interpretation of aerial and satellite imagery by improving the accuracy with which geospatial features can be identified.
We assist clients by jointly working with them in some typical use cases like climate data, monitoring of roads and bridges, satellite or aerial images of crops, knowledge of disease outbreaks, quick response to any disaster through the location of an affected disaster area, displaced citizens, food supplies and drinking water. This would help to bring in a positive outcome in the operation and functionaries of the client to better serve the community.