Domain Level Metrics has released a beta version of its tool for mining aggregate metrics and provides an API (Application program interface) aggregate data from marketing analytics provider Moz, search analytics firms SpyFu and SEMrush and web stats provider Alexa. The benefit is that one does not require subscription to access the data on these platforms. To use this data it can be exported to a .csv file as the domain metrics itself is not available via an API. To read more: http://marketingland.com/new-dashboard-offers-metrics-selected-search-web-analytical-tools-184464

A business can have numerous customers. Any organization needs to segment their customers. While segmenting the customer list can be done by ranking customers by order size. The analytical tools in the CRM package let you go far beyond a simple ranking. You can get a 360 degree view of your customers. You can increase business with these high-value customers by meeting their needs more effectively. Read more at: http://it.toolbox.com/blogs/insidecrm/your-best-customers-your-worst-customers-and-crm-70477

Retailers are using analytical tools in order to drive sales. Organizations use tools such as pricing and assortment optimization, location analytics, and customer-driven marketing. Still, many retailers are puzzled to prioritize their analytical approaches. Some companies are astounded by the large number of options they have, while others find it difficult to manage data provided by various point-of-sale systems, websites and other internal transaction processes. Another reason is a lack of skilled analysts which hampers progress. Thomas H. Davenport (Distinguished Professor of Information Technology and Management at Babson College in Massachusetts), writes in his article about the strategies and approaches organizations must follow while choosing their analytical tools. To know more, follow: http://www.teradatamagazine.com/v09n04/Viewpoints/The-potential-of-retail-analytics/

There has been a transformation and a creation of positive impact on the social and economic relationships across the stakeholders. Thus companies today need to treat Big Data and analytical tools as an asset. However data presents inherent challenges in adoption. Companies are grappling on how to contextualize information, and presenting the data in a lucid manner is another challenge. Without making inroads into old processes and investing in the right kind of people to tap into data's hidden potential, a company can never fully realize the scope data offers. According to several research studies, Big Data is a top business priority that can transform processes and organizations. Thus a good data miner always finds a right balance between machine and man. Data visualization is another important tool to help management and reflect how businesses and markets are changing. To know more, please follow:

http://www.informationweek.in/informationweek/perspective/297284/-challenges-opportunities