Among leaders "at the forefront of real analytics challenges"
CIO Review has published its 2013 "Data Analytics 20" based on consultation with CEOs, CIOs, VCs, analysts and the publication's editorial board. Evaluation criteria includes the vision, execution and realized value of solutions.
We have a new addition from the last positions we posted, and appreciate all the interest we received. As Aktana continues advancing, we're expanding more. The company could use great engineers to work with us on development of our products.
The big data movement has arrived with widespread, real-world use, and it's advancing. Practitioners can access a lot of information, from diverse sources, and perform sophisticated analysis to help them anticipate what will happen and execute on goals.
Can you develop enterprise class apps and enjoy building quant models? Can you manage product in a senior capacity? Or, do at least one of those? Let's talk!
It's a thrilling time to work at Aktana. Our solutions for more insightful and effective revenue generation by our customers are proving their effectiveness. The momentum is awesome, and we could use yet more great people to keep advancing things.
Leverage Analysis, While Respecting The Field's Action Orientation
Powerful analysis of abundant information is transforming the enterprise. Business Intelligence ("BI") applications provide big data advantages to management teams. They can assess aggregated details to set future directions. BI usage includes micro-segmentation within marketplaces, and controlled experimentation with different strategies applied to different segments to find what works best.
Impact Of Big, Smart Data Throughout Healthcare Lifecycles
Getting to massive amounts of content, from wherever people are, on whatever device is handy, with capabilities to intelligently process for better decisions -- these are the elements of the heralded "big data" trend. Genetic Engineering & Biotechnology News has a great ar
Big Data Analytics and the Challenge of Field Sales Effectiveness
It seems like an ideal – even obvious – application of big data analytics: correlating sales activity and customer results to determine how field sales reps can become more effective. Of course, company and product strategy would be fully integrated, to ensure relevancy to the business challenges at hand.