Consenso

BI & Data Analytics

Make your decisions based on data

Decision-making is perhaps the essence of management, and much attention continues to be focused on how to do it better. Studies show, that over 60% of management decisions are not taken based on facts but on other factors like emotions and feelings. One of the reasons is that still a grand majority of businesses struggle to have their most essential data at hand at the right time, independent of any location in order to enable data-driven decision making. Just some examples what we came across in our past:

Your Challenges

  • Decisions are not taken based on data
  • The Reports in your company are done manually in Excel
  • Only way to get the data for reports is by manually extracting it from the source system
  • BI System needs to be optimized due to data availability needs, growing data volumes, current infrastructure design etc.

Our Solution

  • We take the time to understand your business model and your process in order to consult you which key metrics to track in order tosteer your business
  • We introduce BI & Data Analytics systems that go from a very lightweight Power BI Dashboard setup to introducing large scale data warehouses that are able to handle big data
  • We optimize & automize your current data pipelines
  • We setup & develop all transformations, data bases, data models and visualization
  • We design dashboards that are visually appealing
  • We train you how to improve and support your solution
  • We support after the implementation with our team of experts

Data Systems and Processes

  • Only way for manager get information about the performance from their team is by manually extracting data from the source systems
  • There is no regular meetings where actions are agreed based on Key Performance Indicators
  • No transparency about supply chains and sold products in order to plan staff-schedule and production processes

Data Availability

  • Companies having insights about their financial performance once per month
  • Operational and Quality KPI’s only available once per day
  • Sales figures are only transmitted to the BI system with a nightly batch-job

Data Quality

  • No defined Processes for Master Data Management in the Source Systems, which is the basis for data analytics
  • Setup of Dashboards and Reports can be done by literally everybody in the business, hence a lot of redundancies are created and there is no single truth for a specific business question

Small Businesses / Low Data Volume Package

  • Apache NIFI for cleaning and transforming the data
  • PostgresDB to store the cleaned data
  • Power BI or any other comparable tool where data models and dashboards can be built

Medium Businesses / Medium Volume Package

Data Lake consisting of:

  • Object/file storage (Minio, Amazon S3, Azure blob storage, google cloud storage bucket)
  • 1st PostgresDB layer to mirror the BI relevant data from source systems
  • Apache NIFI for cleaning and transforming the data
  • PostgresDB to store the cleaned data
  • Power BI or any other comparable tool where data models and dashboards can be built

Large Businesses / Large Volume Package

Data Lake consisting of:

  • Object/file storage (Minio, Amazon S3, Azure blob storage, google cloud storage bucket)
  • 1st ClickHouse DB layer to mirror the BI relevant data from source systems
  • Our own developed ETL tool for cleaning and transforming large data volumes
  • ClickHouse DB to store the cleaned transactional data like (invoices, bookings, payments etc.)
  • PostgresDB to store dimensional data (countries, customers, products etc.)
  • Analysis Services or eMondrian to build data models
  • Any dashboarding tool that can visualize XMLA data models