A well-defined data management process helps mine real value from data through reliable reporting based on high-quality data. We help businesses derive opportunities while writing off data sources that do not contribute to value addition.
We design data governance strategies and create guidelines describing user roles, rights and responsibilities along with 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 get value from their data or rely on data that does not render any value, 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 checks and data cleaning activities to fight them all and make your insights genuinely true to life.
We create a clear strategy for enterprise-wide core and metadata management. We assess all external and internal data sources and measure the relevance of data to 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, and a data warehouse or a data lake design (or both, if needed). This will make your reporting more relevant and 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 roadmap. To speed up the migration process and minimize mistakes, we automate the process partially or fully as relevant. After migration is complete, we verify its results to ensure that no data was lost, misleading, or useless.
We recommend additional sources and new data to get extra insights, make your decisions more informed and valuable, 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 continuous comments and posts on social networks, real estate listings, competitor prices, public forums etc.
To ensure that your data is secure and only authorized users have access to it, we analyze your business specifics and apply the best practices to review your current approach to enterprise information management. We evaluate the capacity and reliability of the existing architecture and technology stack and 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 the rudimentary level with regard to data management techniques, we do it for you. We can also run a comprehensive health check of your data warehouse, its security and performance with inbuilt tools and frameworks.
You can turn to us, if you face any core data management issues that is affecting your data-intensive application performance. Whether you need to assess, audit, develop a strategy or get recommendations on how to set up proper data management processes – Team Czario will be happy to help.
Not only can we guide you through with professional advice on how data management needs to be carried out for your planned projects but can also develop a prototype of our proposed solution for you at a nominal rate. This prototype can be evolved to suit your varying business needs better. 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 duplicate entries. This will keep redundancy under check while reducing time.
Having disjoint systems with data locked within them makes getting a holistic picture of linked data quite challenging. This can be a significant hurdle for implementing 360-customer view initiatives, a conglomerate-wide loyalty program or automated vendor assessment while spoiling the customer experience.To solve this challenge, we’ll come up with a solution aimed to correlate & integrate data from different systems within your enterprise. Additionally, we’ll run data quality management procedures to avoid such situations like scattered customer data of interest over multiple records.
When departments rely on different data sets or data versions, your business cannot boast unified and reliable reporting and informed decision-making. What we can do to help you here is integrating all your data into one centralized platform and establishing a single source of truth while keeping the access role-based/permission-based Additionally, we can run data quality assurance procedures since duplicated data can end up inmultiple and outdated data versions.
If it takes ages for your business users to generate timely reports, the problem may be as deep as the solution’s architecture design. 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 times 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 participating 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 business models 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.
Want to streamline your data management tasks? Want assistance in setting rules, transparent processes, and defining role-based access control of your enterprise data? Connect with our core data management team today and stay ahead!
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