In data analytics for 5 years, we understand that a business cannot get reliable reporting based on high-quality data unless it has a well-tuned data management process. To help companies organize this vital process correctly, we offer services that range from consulting to implementation.
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.
Many businesses don’t trust their data, and our job is to ensure that yours is not one of them. 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.
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 actually 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 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 actually 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.
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 have 14 and 6 years of experience in these domains, correspondingly. We can also run a comprehensive health check of your data warehouse, its security and performance.
You can turn to us, if you have any data management issue that bothers you. Whether you need to assess, audit, develop a strategy or get recommendations on how to set up proper data management processes – we’ll be happy to help.
Not only can we share a piece of professional advice on how data management needs to be carried out but also share our hands-on experience with it. We can fix identified issues, put all the recommendations into practice and solve your data issues.
If you practice manual data cleansing, we can free up a lot of man-hours by automating your data quality assurance process and setting up rules to correct misspellings and remove or merge duplicates.
Having disjointed systems with data locked within them makes getting a holistic picture of your data quite impossible. That can be a significant hurdle for implementing such initiatives as 360-customer view, a conglomerate-wide loyalty program or automated vendor assessment.
To solve this challenge, we’ll come up with a solution aimed to integrate data from different systems within your enterprise. Additionally, we’ll run data quality management procedures to avoid such situations as, for example, customer’s activities scattered over multiple records.
When departments rely on different data sets or data versions, your business cannot boast reliable reporting and informed decision-making. What we can do to help you here is integrating all your data into one centralized solution and establishing a single source of truth. Additionally, we can run data quality assurance procedures since duplicated data can make you end up with data versions containing different info after updates.
If it takes ages for your business users to get their reports, problems may lie as deep as the solution’s architecture level. For example, your ETL processes can be faulty. Or your solution may have too much duplicated data, which occupies extra storage and requires more CPU cores for processing
During a merger or an acquisition, it’s important to have a clear data-related action plan. We can assess the existing solutions of the involved companies and review available data and technologies to come up with data governance and migration strategies. We can run data cleaning processes to remove duplicate records and standardize data sets of all businesses involved. We can also consult you on data security to ensure that data migration and merger doesn’t affect your data security and the solution continues to work properly.
Streamlined data management is what you lack? Make a change, then! And if you need any assistance in creating clear rules, setting up transparent processes or defining roles and assigning obligations – we would be happy to help.