The KASH Tech team is experienced at assessing your existing data and analytics systems, BI, and reporting tools to provide recommendations on better managing and leveraging your data to optimize business performance. We help our customers turn data into meaningful information via self-service solutions that can generate insights, improve efficiencies, and promote best practices.
Data Strategy
Data is an asset. Like any other business function, if you want to improve or enhance your business, you must develop a strategy for achieving the goals and desired business outcomes. The same goes for your company data. You must define your data strategy to turn your data into value for the organization. A data strategy defines the tools, processes, and governance that determine how to manage, analyze and share data within your business. A data strategy helps you make informed decisions based on your data.
A successful and sustainable data strategy should include four key components:
Formulating a Data Strategy requires devising a customized plan that caters to the distinct requirements of your enterprise. It is not a one-size-fits-all approach but rather a personalized strategy that considers the people, processes, and technology specific to your business. The objective is to pinpoint and establish actionable data and analytics that will assist you in achieving your business objectives.
Enterprise Data Architecture
Trying to define and map out an enterprise data architecture can be a daunting task. There are many variations to consider. A helpful definition of data architecture is the structure of an organization’s logical and physical data assets and data management resources. To truly become a data-driven organization, your data architecture plan represents the people, process, and technology to translate business needs into data and system requirements.
Data Governance
Data Governance is a function of data management that creates value by ensuring your business has high-quality data to drive business insights. Creating an enterprise data governance framework and ecosystem is critical–and often overlooked–to the success of your information delivery strategy. We enable your company to define, analyze and automate your data quality processes to render the insights needed to improve decision-making and outcomes from the data analytics solutions you build. Critical components of an enterprise data governance framework include data profiling, an up-to-date data catalogue, consistent data onboarding processes, and metadata management. All these technologies are designed to help eliminate data inconsistencies, reduce IT costs and dependencies, and build trust in your data.
