Solution

Suit of data services

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Our services offer end-to-end data tech solutions (hard skills) and data consultancy (soft skills). Surely, any tech implementation is as good as its acceptance by the organisation. Only when the latter is secured, your data strategy can become successful.

1

Solution

Data Integration

First, we will investigate your data landscape, i.e. what systems it consist of, how it supports your business model and what data can be retrieved from it. Either from one system or many sources.

Secondly, we will want to know the insights of your business. What are your KPI's and what does your organisation looks like.

Only then will we start the process of data architecture - data modelling - E.T.L. configuration - data lake storage - data warehousing.

Our deliverable is a robust Smart Data Platform within a cloud subscription of which you are in control. In other words, we always work within your workspace and never pull data externally.

2

Solution

Application Integration

Graphs can be complicated. Cut through the clutter, provide clarity. Focus on the KPI's that matter most. Better to have three metrics in one dashboard than ten.

We can design dashboards for you. We call it data story telling. Either in PowerBI for authorized distribution internally or custom UX to service your customers better. But always to drive your business.

If historical data can be obtained, even better. Evaluating patterns in data can achieve great insights that have the power to predict. From optimized stock keeping and predictive maintenance to customer profiling and sentiment analysis. Your journey in level of sophistication could grow from descriptive to predictive to even prescriptive insights!

3

Solution

Data Analytics / Science

OK, so you have a robust Smart Data Platform and you are enjoying your insights. The relative ease of data flow can be misleading. Source systems need updating, sometimes require an upgrade. Databases need patching for security reasons. Stored procedures can get disrupted, creating errors and failures in data flow.

This is where our Data Operations Center comes in. We have developed a proprietary monitoring tool that captures log files. Any failure or error can be traced and pro-actively mitigated. Also, it will monitor for inefficiencies in the use of Azure components. That's the beauty of the cloud; you can scale up and down and pay accordingly. You don't want to be paying for idle servers!

It can’t all exist without Data Management.
We offer the following services

Why is data governance so important?

At all times, you want to comply with GDPR regulations. Moreover, you want to be in control of your data. You want to know how, when and what it is being used for. Having to answer difficult questions from management is nobody's preferred occupation.

Data tech and data management are closely intertwined. Every time a new data source is connected to the Smart Data Platform (data tech), a processor agreement with the supplier of the data will need to be set up (data management). Any integration of datasets in the Smart Data Platform (data tech) will require a Privacy Impact Assessment (data management). And any selection of datasets that you make available to your colleagues for further processing (data tech), requires approval from appropriate levels (data management).

Formalizing and documenting how data is handled and governed, provides structure and clarity. We can support you in setting up a clear data governance & management strategy, so that you don't have to answer those difficult questions."In today's tech environment, I am most excited about the incredible explosion in the amount of data. Behind all the buzzwords in the industry is incredible quantities of data. Turning that data into useful insights, outcomes, results, and the infrastructure, hardware, software required to make all that happen, to secure it, to integrate it and to protect it — that requires an enormous set of new capabilities. In many ways, it’s just the beginning of tech."

1 Data Strategy

Data is an asset and you will have to treat it that way. Data strategy doesn't have to be complete, you will get there by doing. It is an iterative and organic process.

2 Data governance

Data is an asset and you will have to treat it that way. Data strategy doesn't have to be complete, you will get there by doing. It is an iterative and organic process.

3 Data adoption

Data is an asset and you will have to treat it that way. Data strategy doesn't have to be complete, you will get there by doing. It is an iterative and organic process.

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