In his HBR blog post, Big Data’s Human Component, Jim Stikeleather correctly notes the critical role human intuition plays in big data analysis. Intuition is, indeed, gained through experience, and “educated guessing” is important, but intuition is still limited by field of vision, time, attention span, and other human factors. Altometrics is creating technology that maximizes decision makers’ view into big data while greatly decreasing the time and level of attention required to interpret and use the resulting analysis.
Because this is so critical to achieving the best possible use of big data analytics, Altometrics offers an exploratory analysis of all facets of a business’s operations that discovers critical relationships that may not be under consideration. Our product focuses on the discovery and analysis of unseen relationships and powerful, creative presentation of data to augment the experience of the business’s decision makers.
With the ascendance of Big Data, comes a drastic change for Marketers. Unsurprisingly, most Marketers are not really good at managing based on data. After all, so much of marketing has historically been immeasurable in terms of revenue impact. What was the ROI generated by that last flight of radio?
Patrick Spenner and Anna Bird wrote a blog post—Marketers Flunk the Big Data Test—on HBR’s Blog Network. In the article they profile the kinds of Marketers that provide the greatest value to their employers when it comes to building business based upon data.
Into which profile do your Marketing colleagues fall? Be a friend and pass this on to them. Their careers may depend on it.
The same analytics methodologies critical in IT and business enterprise are major cost cutters when it comes to sifting through the 100,000+ documents that can be generated by modern legal e-discovery. In legal industry terms, these methodologies are called predictive coding. Network Computing Blogger, David Hill, covers this topic in a recent blog post.
Altometrics’s method of advanced big data analytics takes what you know – intuition gained through experience – and bolsters it with what you don’t know but can learn from an arbitrarily large data set that you can’t possibly absorb due to cost, time or other constraints.