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What is procurement analytics?

Procurement analytics is a method used in companies to collect, extract, monitor, and evaluate procurement data in order to improve purchasing processes and generate effective actionable insights with the help of professional procurement analytics software. By improving your operational and strategic management and optimizing your relationships with suppliers and contractors, you stand a greater chance to compete in our cutthroat market. datapine will help in the process.
icon illustrating contract management Contract management
Negotiations and contract management are core applications that represent success in analyzing procurement data. Modern solutions send alerts when contracts need to be renegotiated, provide information and relevant data to improve negotiation processes, and, subsequently, help improving compliance rates.
icon illustrating vendor evaluation Vendor evaluation
Not just significant for category managers but the company as a whole, vendor evaluation is a critical component when analyzing procurement KPIs as the data will help identify opportunities, address issues in vendor relationships even before they occur, and optimize supplier delivery processes to achieve maximum value.
icon illustrating procurement data optimization Data optimization
When data is disparate through various systems, spreadsheets, and sources, it’s hard to deliver outstanding results. Cost modeling, price benchmarking, spend analytics, compliance rates, supplier performance and payment analytics, are easily managed with the help of a modern procurement dashboard.
icon illustrating predictive analytics tools Predictive analytics
By implementing algorithms that help forecast future behavior of data and, consequently, impact the overall business, modern companies have the chance to take complete advantage of predictive analytics in procurement and its various applications. You can predict your future with the help of a few clicks.

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Professional Procurement Analytics Example: Procurement KPI Dashboard
Procurement Quality Dashboard
Supplier Delivery Dashboard
Procurement Cost Dashboard
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How is procurement analytics software used in industries?

procurement analytics KPI example

The advancements in technology have found its applications into the procurement function and it enabled professionals to use structured and unstructured data, predictive analytics, key performance indicators, and colossal volume of information as a business advantage. Traditionally, technical tools and analysis were done using static spreadsheets and presentations but today, we can see how the next, AI-powered generation enables managers and professionals to quickly combine data sources, access the information stored on the cloud (or, in some instances, on-premise), and completely transform the analysis process through powerful Software-as-a-Service (SaaS) solutions.

Different types of businesses need different procurement data analysis processes in order to meet the company’s goals and objectives. In recent years, professional BI solutions augmented the procurement department by bringing accessibility, artificial intelligence, and real-time monitoring into the hands of professionals that have struggled to manage massive volumes of data. Companies have approached these issues by using modern software, automating procurement reports, and focusing on the most important part of the process: actionable insights.

What are the benefits of procurement analytics?

Analytics helps teams, managers, and C-level executives to save time, reduce costs, optimize the life cycles, and increase productivity. In today’s competitive environment, businesses of all sizes must find relevant insights in order to achieve better positions in the market, and survive in our cutthroat environment. The benefits of using purchase analytics solutions include more effective cost and supplier management processes and powerful predictive analytics features, among others. Simply imagine a scenario where you need to deliver a forecasting analysis of the next 6 months, and the software can help you determine the best possible way to act, and what to expect. By selecting specific data points, the software can deliver predictions with just a few clicks and augment the analytical process to help in making more productive decisions. Keep in mind it’s not just about the numbers, but what is hidden behind them, and how you can include the findings in your future strategies. Another benefit is keeping a close eye on established metrics such as the compliance rate, purchase order cycle time, or supplier defect rate. By using effective analytics solutions, it’s possible to incorporate smart business intelligence alerts and receive a notification every time an anomaly occurs. That way, you will be able to save countless hours of manual calculations and monitoring processes. Controlling spend, invoicing, comparing metrics against each other are critical elements of modern analytics processes. The third benefit is a definite improvement in supplier intelligence since algorithms will help you to identify the best possible suppliers, create specific negotiation strategies, and avoiding numerous risks that come with building and keeping effective relationships with each and every one of them. To juggle multiple scenarios, variables, and opportunities that come with the job, analytics will help you to stay informed, back your findings with data, and deliver optimal performance.

Continuing to our former point, analytics help in saving precious hours. As one article from Accenture states, analytics cuts “40-plus hours of data manipulation and analysis by procurement resources to 2 hours of value-added supplier evaluation.” As suppliers are a critical element in procurement, honing the productivity levels ensures sustainable development and improved business performance. Additionally, empowering users with procurement BI brings more value and a detailed outlook on the customer, supplier, or vendor demands. Analytics and BI in procurement help in identifying different requirements and predict changes in the overall supply chain and, subsequently, improving loyalty programs, minimizing errors, eliminating waste, and connecting various business dots across the board. Improving pricing strategies is another critical benefit of such analytics. While the goal in procurement is to always get the best possible price and quality of the product or service, continually comparing real-time pricing or history of order accuracy brings cost-effective results for the whole procurement function. Variables in this function are vast and the need to optimize price levels to keep a competitive streak on the market is critical for modern companies. Analyzing such data and creating a data-driven environment helps in determining which product is of the highest quality, and can give us the best price. Finally, as we will discuss later, analytics uses modern technologies that help users generate insights much faster and with greater accuracy. Minimizing human-made errors, category managers, procurement professionals, and everyone involved in the process can benefit from empowered tools and software that help in data management, automation, risk assessment, and evaluation of the overall life cycle. Procurement is becoming more data-driven, and it simply makes sense to tackle modern technologies in order to reach better performance, minimize costs, and increase productivity levels.

Take advantage of modern procurement analytics tools & BI

procurement analytics metric example

Business intelligence in procurement has enabled the industry to implement smart technologies that bring the most effective ways of analyzing, tinkering, and reporting data, oftentimes trapped in countless rows and columns of standard spreadsheets. Modern self-service BI solutions are optimized to serve both advanced analysts and average business users that need to access and leverage the potential of the collected information. By taking advantage of professional procurement data analytics solutions and tools, the power of data management brings the user a significant advantage and control over countless information and ensures smooth operational and strategic decision-making processes.

As mentioned, modern technologies have influenced procurement and enabled every user to perform basic and advanced data analysis. Moreover, the possibilities of automation that we have expounded on earlier have ensured that each professional in the field has a productive, smart, technologically advanced assistant by his/her side and brings positive change into the overall business. Modern procurement needs modern solutions, and by bringing smart tools into the picture, consolidating data, acting upon the data, and making effective decisions are no longer tasks of traditional means of analyzing data but an essential part of procurement business intelligence.


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