How Enterprise Search and Big Data Find Common Purpose
Forrester’s 2015 Wave on Search and Knowledge-based Discovery is out, offering a fresh perspective on the evolution of search-based applications. We are pleased that Forrester designated Attivio as a Leader in this category and that the evolution described suggests an important connection between next-generation search and the opportunities of Big Data.
If you’re currently waiting for data to analyze or you’re working to find data for a colleague – you’re familiar with one of the productivity challenges associated with getting BI from Big Data. Finding the right information and provisioning it for analysis and decision-making constitutes a real bottleneck for many organizations.
My last two posts highlighted both a recent change and a long-standing challenge. That no fewer than ten thousand Investment advisory firms face AML regulation – where the costs of compliance have increased by more than 50% over the last three years – suggests the potential for a messy regulatory train-wreck. Why are costs spiraling out-of
Between 2011 and 2014, banking respondents to KPMG’s Global Anti-Money Laundering Survey reported an average increase in AML compliance costs of 53%. That average exceeded both their 2011 prediction (40%) and the previous (2007-2011) average of 45%. In seven years, institutions seem to have made very modest headway in cost-efficiently complying with regulatory changes. Are there reasons and solutions?
What stands between your organization and the data insights it needs? Of course, there could be many things: the lack of effective big data analytics tools or adequate data analysis expertise for starters. But what if you have all that and you’re still not getting the kind of business value you’re sure lurks somewhere in your data?