.svg)
.png)
Build scalable, secure apps that drive innovation and growth.
Thank You !
25%
De-duplication opportunities in raw materials.
6+%
De-duplication opportunities in vendor master.
Back
Insight papers
Reduction in operations costs by freeing up massive cloud storage previously occupied by duplicate and otherwise unnecessary data.
With data exploding at unprecedented speed in today’s highly digitized and IoT-powered environment, organizations of alltypes continue to invest in advanced technologies to modernize operations. Butpoor management and maintenance of that data can render it meaningless, costing businesses more in the longrun and leaving opportunities on the table –including the ability to drive value and enable intelligent action. A good dataquality strategy would not just clean the data but also prepare it what’s next.
One global manufacturer recognized potential quality issues in procurement data, but was unsure where to prioritize improvements or how to deploy an enterprise-wide data management program. Aligned Automation worked with the company on a step-by-step approach,framed by an agile development methodology, to work across teams and determinea technology framework, business rules, tracking and KPIs. From data discoveryto data quality score cards, the team enabled a measurable, scalable program benefitting the entire organization. With technology-agnostic capabilities and functional experts, Aligned Automation tailored the solution to actual desired business outcomes.
The business had data from a variety of digital sources across their procurement organization, but lacked a sustainable operating model for maintaining fact-based and measurable data quality. Teams struggled to optimize operations and cut costs with large amounts of data –some duplicate – taking up valuable cloud storage space. Without established data quality, it was difficult to drive forward on further data improvement opportunities and achieve the differentiation that comes from harnessing the power data and analytics.
To tackle this increasingly common challenge, the team identified the following project objectives:
Create tracking mechanism for KPIs, opportunities, and end to end support profiling
The manufacturer and Aligned Automationdata quality experts accelerated project organization and execution through collaboration with IT and business groups to set goals, prioritize focus areas, review milestones and incorporate feedback. Solution deployment through anagile methodology enabled rapid project mobilization and delivery of targeted outcomes across business groups.
The team focused on 6 main areas for their data management solution:
The solution enabled the manufacturer to see a historic snapshot of their data and data quality. From there, the procurement team could analyze gaps and understand changes in quality overtime, providing an important benchmark and direction for future improvements.The focus of this first round was on de-duplication potential, eliminating redundant data to store only unique first instances.
Analysis demonstrated a potential 25% de-duplication opportunity for raw materials and more than 6% potential de-duplication opportunity in the vendor master. Deduping all these areas has the potential to free up massive amounts of bandwidth andcloud storage, reducing overall operational costs.
Critically, this analysis is not limited to the procurement organization. The data management framework used by Aligned Automation is scalable to other organizational functions and data-intensive groups. Expanded use cases include everything from de-duping sales data and contacts to streamlining manufacturing. Maintaining quality data can be the difference between compliance and high fines, missed sales opportunities, or lost revenue from decisions based on incorrect information. By investing in data hygiene, manufacturers pave the way for better decision making, increased productivity, and long-term success.
