Tag Archives: big data

Tips for aligning IT with business for big data success

Left to right: Martha Jane Avstreih-Ross; Ann Woloszynski; James Miller

When IT execs talk about big data, they say they have to start with baby steps; they have to get buy in from many areas of the organization. Here are some of their tips for getting both IT and executives on board with analytics implementations and data governance policies that will help the organization make the most of data.

Also tagged , |

The high-velocity big data stream

Hybrid Anti-Fraud Approach 2

Organizations need to pull immediate insight from real-time, streaming data because traditional approaches, which apply analytics after data is stored, may provide insight too late to act.

Also tagged |

Fraud is everyone’s problem

Make Everyone a Risk Manager

Most fraudulent activity goes untried. In many cases, it goes undetected. The cost of that fraud is often passed on to customers, constituents or owners in the form of higher fees, increased taxes or lower margins. It doesn’t have to be that way.

Also tagged |

Six tips for managing risk data

visual analytics

Combining these six tips will help the bank reduce operational costs, focus on more profitable trading operations, reduce RWA and thereby achieve a better return on capital deployed in its trading operations.

Also tagged , |

Risk exposure in capital markets – real-time

big_data1-271x300

Event stream processing allows capital market firms to make complex business decisions on massive amounts of data in real-time. So, instead of waiting until the following day to get the latest reports, the risk management team can have an up-to-date view of their risk exposures on an intraday basis for more timely business decisions.

Also tagged |

Four key benefits of high-performance analytics

data visualization

Are you struggling to pull all of the risk data for your regulatory calculations? Do you need to do a better job of predicting loan deposits earlier in the cycle? Take a look at how high-performance analytics can help you solve these problems.

Also tagged , |

Data: One antidote to risky behavior

jill_dyche

Everyday, companies cede hard evidence to the political agendas of a willful manager or department. Savvy managers understand that weaving data-driven decisions into the fabric of corporate governance can obviate organizational infighting and drive progress.

Also tagged , , , |

Big data management for retail banks

big_data

The challenge for the years ahead will be to balance increased regulatory costs and the need for greater efficiency while at the same time delivering an improved customer experience and innovations to retain customers and grow revenues. High-performance analytics will help bank executives pave the path to success – with customers, regulators and the market.

Also tagged , |

Big data improves speed, accuracy and automation for credit lenders

Data for risk management - 2012

Credit lending is a fast-paced business that relies on large amounts of customer and transaction data. Rex Pruitt, Premier Bankcard, discusses how high-performance analytics can help meet the challenges of today’s lender.

Also tagged , |

Can banks use data analysis to play ‘Moneyball’?

Moneyball

The movie Moneyball was an entertaining reminder of how difficult it can be for tradition-bound organizations to effectively leverage their vast information resources. Billy Beane showed that big data’s promise is there for you and for your competition – who will go for the prize?

Also tagged |