Data Governance
Services
Knowing Your Data To Empower Your Business
Knowing Your Data To Empower Your Business
Data governance is perhaps the most important yet challenging aspect of data management. An increased focus on data security and privacy, data spread across multiple systems that don’t talk, dealing with structured and unstructured data, difficulty in understanding who’s creating, using and sharing data and data quality issues make it all the more difficult to get data governance right. Whether you’re creating a data governance program from scratch or growing your existing program, we’ll work with you to make your data and analytics more secure, accessible, trustworthy and actionable to the business through robust data governance practices. We design a custom approach to data governance for each of our clients that addresses people, processes and technology.
Ask Us HowBoomData can provide a simple or detailed review of your data governance processes, practices and architecture at each stage of your data lifecycle, to ensure valuable information is created repeatedly at scale, to meet the growing needs of the business. Using our proven framework we assess your current data governance practices with recommendations to optimise.
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.
We review how effectively metadata is captured and maintained to provide insight about the data’s structure, meaning, relationships and data lineage. For example is there a complete up-to-date repository of metadata such as in a data catalog. This allows users to easily locate data, assess data sources, understand data transformations, calculations and determine data quality.
We can provide guidance on policies and procedures to govern data access, authorisation and authentication, to provide boundaries for users and compliance. We also assess data stewardship, ownership & management in the business of data.
BoomData can configure and deliver a customised Microsoft Purview data governance platform within Azure for your business. This will provide those responsible for data and security a complete view of the data lineage across your entire data infrastructure, both on-prem and in the cloud from ELT/ETL processes to data storage to Power BI. The Data Catalog will scan your data to pinpoint potentially sensitive information, simplifying governance and risk management.
BoomData can help you identify the people, processes, and technology to put in place to streamline data cleaning efforts and prevent bad quality data from being created in the first place. Creating data and analytics systems that are secure and trustworthy with clear data standards, definitions and validation rules.
Starting a data governance initiative can be challenging as it involves, people, processes and technology to work together. We take an agile, iterative design and delivery approach, with a view to delivering value early in your project, sharing our Microsoft data and analytics expertise and how to apply to data governance best practices. We work with you to determine the right engagement model, offering both onshore & offshore resources and can be engaged on a project basis, for ad-hoc work, as a complement to inhouse resource or a full managed service. Our size and focus ensures we’re responsive, get to know your business and care about what we deliver.
Our Director of Data Management discusses 5 telltale signs that could indicate your organisation’s data management practices may be in need of a refresh & shares tips on how to improve.
We provided some guidance in a previous post on How To Assess Your Company’s Data & Analytics Capability. This was in light of recent survey findings published in Harvard Business Review that found that a large majority of business leaders don’t feel like their organisations are still hitting the mark in regard to data and […]
Increases in data continues to put pressure on organisations to modernise their data architectures so users can make better, more informed decisions. Data architectures that depend on legacy, one-size-fits-all BI and data warehousing systems and approaches are often falling short as use cases now push beyond simple, predefined data consumption and involve more ad hoc […]
