Hindsight
Insight
Foresight
Do you know? Many organisations make powerful data science models to create tremendous value, but struggle to develop them further into the foresight stage. The potential value therefore never materialises. This results in unnecessary efforts and waste of money. We change that!
Find leaders that deliver. SPOT the building blocks of the organisation. LEVER the human, data, and technology union. SOLVE organisational puzzles.
We are specialists in matching you with the right solutions.
We build and customize solutions to fit your business needs.
We ensure that the Business-IT-alignment performs optimally.
We are a long way to go, but are on the right track to improve.
Let us make the journey easier. We tap into the building blocks of your organisation and deliver you a competitive edge.
What do we collect through observation? Data are a set of values of qualitative or quantitative variables about one or more entities or objects. It can be transformed into information and in turn into knowledge.
What is the critical component of our value system? Technology is the primary delivery route for virtually all value in a modern organization. All services are now, to some degree, enabled by technology.
What do we do in order to deliver the expected value to our customers? Processes are, by definition, repeatable. They will produce the same result every time, regardless of who is carrying them out.
What is the most important thing in the world? It is people, it is people, it is people. Without people and the organizations they form, you have no service.
Augment human expertise with data and technology. We make your business boom by leveraging the union of data roles and skill sets.
We apply the systematic application of engineering approaches to the development of software for data science purposes.
We build smart tools, infrastructure, frameworks, and services to assist data storing, extraction, loading, pre-processing, post-processing, and visualization.
We unify governing rules and laws, statistics, informatics, and their related methods in order to understand and analyze data.
Benefit from deep and broad experience. We operate at the intersection of data, technology, process, and people to solve organisational puzzles.
Descriptive analytics for managing day to day business smoothly with a few action steps on a daily basis.
Diagnostic analytics for achieving long range goals with many action steps within months or quarters.
Predictive analytics for examining and steering the course of the business with milestones in years or decades to come.
Business Intelligence (BI) is needed to run the business on the course. Business Analytics (BA) is needed to change the course of the business. BI is looking in the rearview mirror, while BA is looking in front to see what is going to happen and how to make it happen.
What happened? First member of BI and hindsight in nature. It is characterized by traditional BI and visualizations such as pie charts, bar charts, line graphs, tables, or generated narratives.
Why did it happen? Second member of BI and insight in nature. It is characterized by techniques such as drill-down, data discovery, data mining, and correlations.
What will happen? First member of BA and one foresight in nature. It is characterized by techniques such as regression analysis, forecasting, multivariate statistics, pattern matching, predictive modeling, and forecasting.
How to make it happen! Second member of BA and many foresights in nature - a manyfold of Predictive analytics. It is characterized by techniques such as graph analysis, discrete event simulations, and heuristics.
Hindsight. Insight. Foresight. To be in Control, you need all THREE.
Situation
Situation
Situation
Every organisation, big or small, is managing a considerable amount of data generated through its various data points and business processes. At times, organisations are able to handle these data using excel sheets, access databases or other similar tools.
However, when data cannot fit into such tools, and human error instances increase above acceptable limits due to intensive manual processing, it is obvious to leverage Big Data technologies.
We operate unsupervised learning on Big Data and its characteristics – Volume, Velocity and Variety - to further develop powerful data science models into the foresight stage.
Amount of data generated
Online and offline storage
Saved in files, records, or tables
In gigabytes or terabytes
Speed of generating data
Online and offline transactions
Collected as time and/or event based
In streams, batches, or bits
Numerical, text, image, audio, and video
Structured and unstructured format
Human generated
Machine generated