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Get full visibility across all of your spend.
SpendView is a comprehensive Spend Analytics solution that consolidates, cleanses, and classifies all spend-related data in one place, giving organizations full visibility across all of their spend. With SpendView, take control of your spend, make better purchasing decisions, and identify savings opportunities that directly impact the bottom line.
Determine the potential savings from eliminating rogue spend and consolidating suppliers.
See how vendors are performing against your corporate goals.
Determine how many vendors and how much spend are associated with your categories.
Consolidate, cleanse, and classify your spend data- without relying and waiting on a third party. You determine the rules to be applied to your data, the taxonomy, when to refresh your data, and to what level to classify your data. You can answer your own questions and do analysis on your own time.
Customize reports and visuals, and bring in additional data sources to deepen your analysis, such as savings and indexes.
With a quick and easy implementation, start analyzing your spend within weeks. There are no large upfront costs to get started.
Classify, cleanse, and normalize data using dynamic rule sets that are tailored to your unique business, using a taxonomy that suits you.
Normalize vendor names and group vendors into actionable business categories.
Comes with pre-built reports so you can see what you are spending your money on and with whom.
Integrate spend data from all of your data sources, including third party data.
Thriving with your data starts with a solid strategy. We help you develop a long-term, guiding plan that defines the people, processes, and technology you need to put in place so you can start using your data to achieve your business goals.
Cloud-based, on-premises, and hybrid–we build secure and flexible data architectures to serve as the foundation you need to take advantage of all of your data.
We implement modern BI solutions so you can automate manual processes, turn data into insights, improve data quality, clearly communicate complex data, and predict trends and behavior.