Analytics

Aragon Research forecasts extinction for most paper documents.

Corralling BI Cowboys can lead to better, more actionable business insights.

For insurers, evaluating elasticity requirements when looking into the cloud may lead them to hold back.

15 minutes with Karthik Balakrishnan and Phil Hatfield, an SVP and VP, respectively, with Verisk Analytics.

As insurers move rapidly to adopt more consumer-centric business models, their efforts are tempered by equally imperative compliance concerns surrounding these new forms of communications and business transactions.

While many companies have invested in financial reporting systems, much of the investment has been ad hoc, leading to ineffective solutions and a lack of visibility, quality and confidence in financial data, new report states.

Collaboration intended to help insurers to meet Pillar 2 ORSA requirements of forthcoming Solvency II directive.

The survey, entitled “Big Data – Extracting Value from Digital Landfills” consisted of more than 400 responses to an AIIM member survey conducted in March and April. Less than 10 percent reported that it is already an “essential capability” for business and about 15 percent expect that it will be essential. On the flip side, nearly 15 percent reported they weren’t really aware of what big data is yet and about 20 percent were merely more than curious about its potential. As far as data analysis, reporting and BI across structured data sets, only 4 percent are developing advanced analytics and big data tools, while most still opt for spreadsheets and ad hoc reports (30 percent) and reports in individual business systems (29 percent).

New version attempts to enhance the capabilities of insurers handling data conversions.

Demand is outweighing supply for data experts who can connect the dots behind big data usage, but where will a growing supply come from?