Relational Solutions, Inc.: Delivers Enterprise Demand Signal Repositories to the Consumer Goods Ind
Relational Solutions' background lies in data warehousing, demand signal repositories and Business Intelligence. This makes the company uniquely qualified to deal with data cleansing and integration issues associated with point of sale (POS) and Big Data. The company addresses a number of pain points for customers by putting POS data in a reliable and usable format.
By streamlining and automating the integration process, we leverage data to provide businesses with more insights and value
Their flagship product, POSmart, automates the integration, cleansing and harmonization of point of sale data and syndicated data, with internal data coming from ERP systems. With POSmart, retail teams can see where they're out of stock. Supply chain teams can view shipments versus consumption. Marketing teams can see if promotions are impacting sales, executives can see where they're most profitable. POS data from retailers including Walmart, CVS, Target, Kroger and virtually any other retailer can be leveraged against any internal data to give insights and maximize ROI. Their data model allows CPG companies to view data based on their internal calendars and their terms. It also automates the ability to report back to retailers using their calendars and their terms.
BlueSky Analytics is their powerful, end user tool that even lets power users query data from multiple sources and distribute reports securely to users. It is the company's extensive experience in working with hundreds of data sources along with their knowledge of data modeling, data cleansing, data harmonization, business intelligence and industry expertise that makes Relational Solutions, first choice for their customers. Relational Solutions' offerings, such as POSmart and Post Promotion Automation and Analytics, are designed as enterprise solutions that solve business needs for CPG companies. "Our technology makes data, structured, unstructured and hybrid, work together. By streamlining and automating the integration process, we leverage data to provide businesses with more insights and value," comments Janet. For example, where social media data includes geographic information, they can align sentiment to determine impact on sales. They take extracts from unstructured data sources, apply business rules and use their data model to harmonize it with your internal infrastructure.
Relational Solutions was founded in 1996. They offer both in-house solutions as well as cloud based solutions. Cloud based solutions can be customized for your needs. Their open architecture is very flexible and supports many databases including Teradata, SAP, IBM, Oracle, Microsoft and others. Relational Solutions continues to develop products that address the business needs of consumer goods companies, allowing customers to leverage data to support sales, category management, supply chain, marketing, finance teams, executives and others.