Most companies allocate a lot of resources to gathering critical data, but end up missing crucial opportunities to get ahead because they do not know how to apply the data correctly. To break through stagnation and strive for success in operation. Whether it is to further sales and marketing activities, enhance customer service quality, improve customer loyalty and contribution, develop highly profitable strategy, establish and achieve KPIs for growth, they come down to the application of big data.
With years of practical experiences, SolventoSoft has provided Extract-Transform-Load (ETL), data warehousing (DW) and business intelligence (BI) , combined with Big Bata technologies and applications, offering a full range of interdisciplinary analysis of business intelligence solutions to help enterprises face the following challenges:
• How to grasp the latest and most comprehensive analysis of information from numerous sources of data?
• How to recommend products based on an individual’s preference in merchandise?
• What is the current trending product?
• How to maintain both the consistency and integrity of data within various systems when information and multivariate data sources continues to increase?
• Does data analytics allow end users to easily grasp information and make decisions through diverse and rich visual effects?
• How to utilize visual analytics to fast track in terms of time, location, consumer habits and so on, in order to formulate high return and reasonable prices quickly?
• How to more efficiently and immediately retrieve and analyse data though mobile devices?
• How to control and manage data quality to prevent errors from negatively impacting the resultant analysis?
Performance Management:
High level executives or strategic committees can learn about the structural composition, revenue contribution of their sales teams, and sale status of various products through analysis of product and business, sales performance vs. products, sales side, organization side, client side, and many other different perspectives.
Customer Relations Management:
Customer complaint analysis, online public opinion analysis, customer contribution analysis, transaction behavior analysis, loyalty analysis, product flow analysis, product analysis, marketing analysis, risk analysis, operational performance analysis.
Internet Marketing Management:
- Page read status analysis (Most repeatedly opened, longest browsed, most commonly used keywords)
- System usage status analysis (highest usage rate, highest income source)
- Related sites or search engine analysis (links from which sites and which search engines)
- Regional usage analysis
- System response time analysis (high traffic or long response time, as a referential index for system improvement)
