Services | Integrand | Strategy | Data Analytics

Data Strategy & Alignment

Review the overall strategy of the client, direct interaction with key stakeholders and develop the desired outcomes in terms of reports, visuals, dashboards and the accessibility thereof.
Review legacy reporting sources, formats and outputs, as well as documenting the current data flows.
Determine the optimal intervention to modernise the current reporting systems, improve data security, data integrity, accessibility and enhance the overall user experience.
Documentation of the above findings, recommendations and ensuring that the findings and recommendations align with the client's data requirements and overall company strategy, vision, mission and goals.

Data Strategy & Alignment

Review the current data sources, data storage, data flows and surfacing methods and platforms.
Make recommendations in terms of improvement on the current data ecosystem, such as creating a central data repository (E.g. Azure Data Lake Storage) for structured and unstructured data.
Extract data directly from the Client's Database (E.g. MySQL or Flat Files [Excel]) using Direct Query (Live Data Connection), Import or Dual, into Power BI.
Incorporate additional data sources that can enhance the information input to improve strategic decision making.
All of the above done whilst keeping security of all data and information as a top priority.
Collaborating with Data Engineering Experts, should the scope and size of the data require additional resources.

Data Engineering

Thorough data cleaning and transformation to take place prior the data modelling phase.
Model data to ensure optimised performance of reports, dashboards and user experience
Develop tabular reports, visual reports and dashboards, and ensuring that that the company's identity is taken into account.
Creating tracking and progress visuals for KPI's and targets is a key priority when developing reports and visuals.
Run statical analysis on data sets for the implementation of trend analysis, forecasting and the creation of "What-if Analysis" models.
Power BI Embedded Analytics and the creation of custom applications for internal company use and external client interaction.

Data Visualisation & Analysis

Review of the current data analysis ecosystem in terms of data structures, processes, policies and tools.
Drafting of above findings and making recommendations in terms of optimisation and enhancement.
Power BI - Creation of development environments, row level security, dataset promotion and certification processes and policies.
Development and implementation of automated refreshes and reports.
Support and Maintenance for data analysis ecosystems.

Administration

A client can choose to utilise each of the services individually or as separate products depending on their needs. It should however be noted that if the key focus of the client is data engineering, the client will be referred to a preferred service provider.
The project can utilise either the waterfall or agile approach, depending on the scope and/or requirements of the client.
Once the project has been completed, the client can choose to enter into a support and maintenance agreement ensuring continuity and stability.