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How Pet Family Used Data to Thrive Under COVID

Sisense

With ambitious plans for growth and development, Pet Family needed to ensure it could act quickly, allocate budget and resources where needed, and continue to make the best decisions for the business. Sales information is immediate, analysis is undertaken in real time, and decisions follow. Toward a brighter future.

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Using Data to Weather the Storm: YourDMS and Pets Corner

Sisense

With ambitious plans for growth and development, Pets Corner needed to ensure it could act quickly, allocate budget and resources where needed, and make the right decisions for the business. YourDMS built a predictive ordering dashboard using data from the ERP system to allow procurement to see the orders that need to be placed each day.

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The Power of EDI in Retail: Enhancing Collaboration & Speed

Astera

By leveraging EDI, retailers can streamline their procurement processes, enhance inventory management, and ultimately deliver a more seamless and satisfying experience to their customers. It eliminates the need for manual data entry, reducing processing time and minimizing errors.

Retail 52
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The Future of AI in Data Warehousing: Trends and Predictions 

Astera

Data management can be a daunting task, requiring significant time and resources to collect, process, and analyze large volumes of information. AI is a powerful tool that goes beyond traditional data analytics. Smart Data Modeling Another trend in data warehousing is the use of AI-powered tools for smart data modeling.

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How and Why to Enable Self-Service Operational Reporting for Oracle ERP Cloud

Insight Software

Discussing data from an APQC General Accounting Open Standards Benchmarking survey of 2,300 organizations, CFO.com notes the average time it takes finance teams to complete the month-close process is 6.4 The tool also requires a fairly detailed understanding of Oracle’s underlying data structures.

Finance 52
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Becoming an Intelligent, Sustainable Enterprise with SAP

Timo Elliott

With a goal to optimize end-to-end processes and accelerate the organization’s digital journey, they looked for more efficient ways to execute all the manual and time-consuming financial forecasting process across their decentralized R&D business units. They were also to reduce their supplier onboarding times by over 40%.

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AI in Supply Chain: Data Extraction Revolution

Astera

This flexibility enables businesses to effortlessly incorporate AI Capture into their existing data management processes, harnessing the power of real-time data and predictive analytics. Enhancing Data Extraction with User-Friendly Features AI Capture provides design-time convenience to jump-start the extraction process.