The complexities of modern business – continually evolving IT landscape, rapid business expansions, business splits, mergers & acquisitions, and the like – add to the existing operational challenges with commensurate cost escalations. Hyper competitive business landscape mandates exceedingly swift operations, strategic responses and shortened time to market. The inertia of legacy IT systems and operations is a colossal impediment to the determinants of business success, compromising the competitiveness. By leveraging the promises and potential of cloud based offering we help you to not only brace for, but also thrive in, the disruptive technological context.

Big Data and analytics

With an exponential increase in the ability to gather, store, access and analyse data, our societies have entered a new phase of “self-expression”, feedbacks, and decision making capabilities. We are increasingly submerged in digital networks, consuming and creating data at the same time as our digital signatures routinely capture our lives. Big data, when mined in imaginative ways, derives its power from information and insights about people’s real behaviour as against their masked, censured selves.

The scientific, data driven approach is bringing remarkable precision to our understanding of many puzzling issues and catapulting decision making from mere conjectures, hunches, and educated guesses to remarkable empirical certainty of hard numbers. For instance, in a famous big data driven intervention among Bank of America Call centre workers, merely changing the coffee break structure so that everyone took the break at the same time led to more knowledge sharing, faster calls, and happy customers. In tangible terms this led to 30% increased engagement, 20% decreased stress, and $15 million per year of savings.

For faster decision making, rapid processing of the deluge of data in structured and unstructured form becomes imperative. The early and, at times, counterintuitive insights that the effective processing and analysis of big data throws up, can effectively underpin businesses’ competitive advantage.

However, the devil is not in the digital detail. When unaccompanied by human understanding, there is no automatic deliverance in the rich analytics of Big Data and only a more robust dialogue between human intuition and Big Data statistics will help realise the enticing promises. This is where our networks and connections with the laboratories and academia pushing the boundaries allow us to translate the promises of Big Data into manifest and desirable business outcomes.

With our experts encompassing a wide array of domains, a rich pool of advisory, we offer a comprehensive big data and analytics portfolio services to create organisational Big Data vision and value.

Our services include:

  • Enterprise Data Warehouse creation and optimisation
  • Delineating Big Data Architecture strategy to harmonise the minutiae of determinants and variables.
  • Crafting Big Data strategy that subsumes architecture and adoption frameworks and roadmaps. This involves strategy and Roadmap, Prototyping and Tool Evaluation, and Data Integration services.
  • Orchestrating Advanced Analytics strategy that is pertinent to the relevant business cases, including Real-time, scalable data processing, storage, analytics, and dash-boarding.

The latter include microservices architecture, Linux containersto enhance application portability, and container management solutions such as Kubernetes that orchestrate container-based services. Cloud-native approaches and solutions can be part of either public or private clouds and help enable highly efficient devops-style workflows.

Cloud

Cloud computing has evolved beyond the initial SaaS, IaaS, and PaaS offerings and matured to become the engine of enterprise technology innovation. The virtualization and central management of data centre resources as software-defined pools affords unprecedented agility and tap into the existing repository of pre-built services. Cloud offerings allow access to new capabilities on demand without commensurate upfront investment in new hardware or software. The feature of auto-scaling allows the real time provision of computing resources to keep pace with the workload. The different virtues converge to reduce the time to market of applications, and offer cutting edge new services such as machine learning and Internet of Things connectivity.

Admittedly migration of legacy applications to the cloud reduces data centre resource burdens minimising cost implications, but the real benefits are leveraged by new applications that take advantage of cloud services and “cloud native” attributes.