We design data governance strategies and create policies describing user roles, rights, and responsibilities as well as data-related standards and metrics. Such strategies aim to provide a transparent enterprise-wide approach to capturing, storing, processing, and accessing data.
Data quality management
Low-quality data can take many forms: duplicated, incomplete, erroneous, or obsolete data. We run data quality assurance and data cleaning activities to fight them all and make your insights genuinely true to life.
Master and metadata management
We create a clear strategy for enterprise-wide master and metadata management. We assess all external and internal data sources as well as relevant existing technologies to come up with standards and metrics to track your master and metadata quality.
The reports built on disintegrated data cannot show a full and consistent picture. We know how to unite flows from disparate data sources. Keeping in mind your data types, we can come up with a relevant BI or big data architecture, as well as a data warehouse or a data lake design (or both, if needed). This will make your reporting more comprehensive.
Before performing data migration, we carry out an assessment to identify sensitive and critical data. Considering the results, we devise a data migration plan. To speed up the migration process and minimize mistakes, we make the process as automated as possible. After the migration is over, we verify its results to ensure that no data was lost.
We recommend additional sources and new data to get extra insights, make your decisions more informed and predictions more accurate. We also make this external data an integral part of your existing data sets.
Regardless of whether your data is structured or not, we can retrieve it from multiple sources, load it into a data warehouse or a data lake and transform it according to your needs. We can set up automated web data extraction procedures to get valuable insights from comments and posts in social networks, real estate listings, competitor prices, etc.
To ensure that your data is secure and only authorized users have access to it, we analyze your business specifics and apply best practices to review your current approach to enterprise information management. We evaluate the capacity and reliability of the existing architecture and technology stack as well as suggest ways to improve the security of your solution.
Data architecture audit and implementation
We can audit your as-is architecture to check whether it complies well with data management procedures. In case you need to implement a BI or big data solution from scratch with regard to data management techniques, you can assign us to this task, too. We can also run a comprehensive health check of your data warehouse, its security and performance.