Modernizing your data strategy doesn't have to wait.
At StarPoint we believe you can start actioning your data now to achieve measurable results in your business, no matter where your organization is in its data journey.
77% of companies put data-driven decisions as a key initiative of their data strategy. But only 46% actually trust their data.1
80% of enterprises face challenges unifying data across different platforms,1 with data silos costing 20-30% revenue each year.2
5.3 hours per week is the average time employees spend waiting or reproducing data that is already available.2
[1] (Source: Precisely)
[2] (Source: LobbyCRE)
Not sure where to start or have a plan but want a soundboard? Whether it's a data strategy for an ERP, cloud migration, or analytics tool, let our Strategists and Data Architects advise and point you in the right direction.
In the age of point solutions for almost every need of the business, it is easy to quickly expand and complicate your data landscape. We specialize in breaking the data silos and synergizing the investments you've made.
Ungoverned manual reports are time consuming, cumbersome, and costly. Our BI developers are experts at delivering concise, impactful, and attractive analytics content on a variety of platforms. Let us give a single pane of glass to your business.
As the data industry continues to rapidly evolve with new analysis tools and capabilities, our developers can ensure your data is ready to make use of today's latest data science and AI/ML tools while also future-proofing for those of tomorrow.
The ERP is the backbone of the enterprise making it crucial for proper data engineering so companies can make informed decisions and measure success. StarPoint's consultants have extensive experience with data from a number of different ERP's across multiple vendors servicing all types of business areas. Let us help you future-proof your investment by preparing your ERP's data for integration with other systems, reporting and analytics, and data science initiatives (including AI/ML).