Enhancing Data Practices To Deliver Better Insights
Is your data ecosystem performing at its best and designed to scale and meet the growing needs of the business? BoomData can provide a simple or detailed review of your data management processes, practices and architecture at each stage of your data lifecycle as part of our Data Management Review Service. This could be a 2-5 day review or a detailed 4-6 week deep dive into your environment. Depending on the route you choose, we will deliver valuable insights into best practices for maintaining and optimising your data ecosystem to ensure data platforms can handle types and volumes of data, data sources can be easily integrated, manual processes are automated and data quality, governance and security is improved.
If you’re experiencing any of the following, then it may be time to assess your data management practices.
Depending on the level of detail you choose for the Data Management Review, BoomData’s senior consulting team will review your data environment and assess its effectiveness within your organisation against best practices reviewing and providing recommendations in the following areas.
BoomData can work with you to ensure there is a central place where all corporate KPIs are defined and documented, including KPI name, description and business rules including how the KPI is calculated.
Effectively capture & maintain metadata which provides information about the data’s structure, meaning, relationships & data lineage. This allows users to locate data, assess data sources, understand data transformations, calculations & determine data quality.
We ensure existing policies and
procedures are in place to govern data access, authorisation and authentication. This ensures boundaries for users and compliance.
Our consultants help establish clear roles, responsibilities and accountability for using and managing data across the business. We can assist in configuring data governance platforms like Purview to assist with this.
BoomData can help create clear data standards, define data definitions and implement data validation rules. This is designed to ensure the accuracy and reliability of data.
Reviewing the end-to-end data architecture approach and performance including ETL, data lake, data warehouse, data mart, model design and front-end interface and compare to best practices.
Contact us if you'd like to tailor a Data Management or Data Governance Audit for your business