Helping Our Business Partners To Invest In Technological Solutions That Pay For Themselves and Build Long
Lasting Competitive Assets.

Digital Transformation

In the digital age, technology is no longer a secondary thought in business strategy but a key part to ensuring that companies deliver value to both customers and shareholders through cost optimization and better utilization of resources to be able to be resilient towards disruptions and maintain competitive advantage. Regardless of the industry or the size of the company there are common pressures such as tight profit margins driven by increased competition and the evolving needs of both customers and employees that lead the decision to embark on a digital transformation journey.

We assist companies with their digital transformation journey by formulating a digital business strategy which encompasses the use of advance technologies as an enabler for the delivery of products and services (Digitised Solutions Strategy) or superior customer experience (Customer Engagement Strategy). Our solutions are tailored to the needs of the customer depending on the digital maturity and the business objectives. It could be enhancing a particular process or a complete overhaul of the business model. We use a digital transformation framework that acts as a blueprint for how the company should navigate this journey. It encompasses all areas of the business and ensures that highlights the overlapping areas that require change. The framework enables the strategy ensuring that the digital journey is successful.

Modern Big Data warehousing

Data lake for centralizing data both structured and unstructured. There are various types of data formats that exist in different business domains which can be used for creating value in the business. The conventional structure that currently exists and commonly used by organizations is structured data.

The data structure in which the data is going to be stored has to be created first before the data is ingested. Good example for this is an organisation that just bought a new ERP system for their Finance and HR needs. This organization will have to create a Database structure that will be used to store the ERP system data. This approach works for structured data however it does not work the same for unstructured data. Unstructured data is not predefined as structured data and it includes formats like social media text, survey responses, images, video and audio. It used to be a challenge for organizations about how structured and unstructured data can be used together. This challenge was then addressed by the introduction of data lakes.

Data lakes are storage repositories that can hold various data formats whether it is excel, database, weblog, images, videos etc. Data lakes are able to handle all these formats at any scale and they are commonly used as a Big Data Solution for any organization that is looking at having a one in all solution for their organization.

Big Data Predictive Analytics

Organizations have always had vast amounts of data about either customers, sales, costs or products. The part that was introduced previously is the part that enables proper analysis of trends from historic data and enables prevention of some bad events that occurred in the past or replicate some of the good events that occurred.

Predictive analytics is the use of algorithms built using mathematical models/methods to predict the future opportunities. The accuracy of the algorithms is reliant on the cleanliness and completeness of the used data. It is therefore important/crucial to make sure that the used data on the right state to be consumed by the algorithms that are being used at the moment.

Big Data Quality Management

As organizations collect more data, managing the quality of that data becomes more vital every day. Complete and accurate data defines the culture and strategy for organizations of the future. Organizations that make more useful and productive outcomes using the power of data in the most efficient and convenient way.

Big data is the commodity if it’s used in the right way and applied using the most accurate quality of data influences the organization’s decision making in ensuring that the required data is always in a good form to be utilized by the organization, as far as end user requirements are concerned. The data quality is crucial for the benefit of algorithms to be utilized in a proper manner.

The organizations need to be prepared in terms of knowing how to utilize the data. It is therefore important to pick the most relevant solution for business’s needs. If the data is not right, the solution is most likely to be not applied accordingly. Organizations that are able to clean the data are able to do accurate predictions, forecasting and reach sales targets.

Big Data Analytics

The evolution of Big Data Analytics came in to play when organizations realised that more and more data was being generated from their systems and operations. This data was not usable before as organizations did not have technologies and tools to be able to make use of the increasing volumes of data, Big Data, it is made up of 3 v’s Variety, Volume and Velocity.

Big data analytics is about integrating different sources from all types of Big Data format types into one platform and being able to make output based on the required outcome. Big Data analytics is able to transform an organization from a typical organization to a digitally transformed business of the future that is about using the past Big Data attributes to influence the future. As the world becomes smarter and smarter, we understand that data is key to your competitive advantage. When you manage data as an asset, you are able to take advantage of its profit-increasing power.

Business Intelligence

The business intelligence comprises of strategies and technologies involved in the organizations data manipulation of data strategy. It involves data mining, data visualization, tools and infrastructure for the execution of more data driven decisions. Business intelligence is more than just a tool or technology but it requires actionable insights for it to be more effective and reliable.

Business Intelligence is able to convert raw data into actionable insights that is able to influence strategic business decisions either in a short term or long- term depending on how it is executed. The data that gets generated is used for business intelligence solutions to influence business decisions. The more the data the better.