Blog 3 Reasons D W A Improves

3 Reasons Data Warehouse Automation Improves User Adoption of Business Intelligence for Dynamics GP

There’s always a risk when introducing a new software solution into your established business, especially when it comes to business intelligence. From planning to delivery, the road to intelligent reporting can be lined with missed deadlines, additional costs and misaligned expectations. And once you finally reach Go-Live, it’s your users that will make or break it.

Business users typically drive the need for business intelligence projects. They are responsible for performing daily operations to manage the business and are getting frustrated with the reporting limitations they have to work around every day. This user’s ability to successfully adopt a new system efficiently is impacted by several areas throughout the project life cycle, including implementation time and system complexity. If the BI tool that was promised is delayed by development and changes, then the product delivered ten months later will not necessarily meet the businesses latest challenges. Additional costs and delays also end up putting more pressure on the end user to deliver and sometimes leads them back to their old system, abandoning BI altogether. Another area that impacts adoption is the overall complexity of the solution. If it’s not easy to learn, use or access, then it’s safe to say it won’t be used efficiently by your non-technical users.

As a Dynamics GP user who has historically struggled to access data and create reports, the best way to ensure a successful BI software implementation is to choose a solution with the right technology in place to streamline implementation, such as data warehouse automation. Data warehouse automation is a fast and cost-effective delivery solution to simplify data warehouse design, development and deployment – leading to the successful adoption of business intelligence in your organization. It’s a new approach to building data warehouses efficiently, reducing resources, costs and project risk by automating the entire data warehouse lifecycle.

Here are 3 ways that implementing a BI solution powered by data warehouse automation can help you successfully adopt BI in your organization:

  1. Delivers Rapid Time to Value
    By leveraging data warehouse automation, new BI and analytic functionality can be delivered in days or hours, instead of months. This helps with adoption rates because users are getting what they want, when they want it, as opposed to what they asked for six months ago. Shorter implementation times allows you to quickly respond to changing business conditions and get a faster return on your investment.
  2. Mitigates Risk
    Using the traditional method of building a data warehouse for your BI solution takes a ton of time to create SQL code, verify data and align metrics, resulting in all kinds of unanticipated issues. Data warehouse automation generates SQL code automatically, 5x faster than other methods, and removes any risk of human error. With no data accuracy worries and testing time greatly reduced, your users can get up and running quickly and confidently.
  3. Creates a Shared Vision
    Let’s face it – the hardest part about implementing a new business intelligence system is getting everyone on board. Data warehouse automation allows BI teams to forget about the time-consuming, manual backend work and spend more time working with end users to understand what information they need to see. Using data warehouse automation in your BI implementation will blur the line between IT and business folks and result in a solution that can be used by everyone in the organization.

Your Dynamics GP system has a great foundation for reporting and business analytics, but there are tools out there to help you and your everyday business users access it better. Before selecting a business intelligence and analytics solution for your Dynamics GP system, make sure you get familiar with data warehouse automation and what it can do to help ease your transition. Download this whitepaper for more details on how to avoid costly project delays and BI failure.

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