"A unified data cloud enables the integration of data and insights into transformative digital experiences and better decision making”. Andi Gutmans, (GM and VP of Engineering for Databases, Google Cloud) recently made the comment on an industry Data and AI Trends report.
Companies are getting serious about creating data that goes the extra mile by providing industry insight. We aim to help you make this possible by first, making the move from juggling spreadsheets to that one source of trusted data available to anyone. Here’s what we cover: Why use a data platform? What is a modern data platform? The 5 key considerations for your first data platform
Why use a data platform?
When a data platform is implemented, it provides the organization with a single source of truth that brings together enterprise-wide data assets, without manual effort, to enable data-driven decision making in support of attaining business objectives.
What is a modern data platform?
A modern data platform is designed with an understanding of business user outcomes, delivered using a product-based framework and focused on driving sustainable end-user adoption.
What are the 5 key considerations for a data platform?
The 5 key considerations for a data platform are:
ease of access
cost of ownership
platform scope and capabilities
product maturity
scalability
It's important to anchor technology selection in the context of a broader reference architecture that supports identified business needs. To support organizational priorities, technologies should build upon data integration, cloud platforms and business intelligence. These 5 key considerations are an important part of the journey to establishing your first data platform.
Ease of Access
It should support access to data by both sophisticated technical users and less sophisticated non-technical users.
Cost of Ownership
Take into consideration the costs associated with all aspects of development and maintaining usability and reliability of the data. These include, licensing, administration, enhancements and data usage.
Platform Scope and Capabilities
Support data management for future extensibility including:
quality, governance, and security
all data access patterns
meeting basic user needs plus data drilling and pivots
Product Maturity
The maturity of the product depends on the needs of the business stakeholder taking into account the following:
Customer install base
Technical support capabilities and size of developer community
Amount of dedicated research and development investment
Product update release cadence
Every Journey Needs a Guide
Connect with us today to find out how you can help your team move from time-consuming reporting processes to on-demand reports.