Trying to stay ahead of the curve when it comes to IT issues is a challenging task. Emerging technology forces in the financial services industry are already impacting business. The convergence of these forces does present challenges; however, it also provides a window of opportunity for financial institutions to elevate business performance and gain a […]
Posts Tagged ‘Big Data’
Making Big Data Architecture Decisions
As with any IT initiative, it is very important for an organization to align business and technology needs when choosing to invest in data analytics and big data processing. We are seeing an increase in big data use cases in financial services around customer data to explore new markets, enable product development, enhance cross-sell capabilities, […]
Social Listening Helps Banks Find Value in Information
Bank Marketing Buzzword of the Year – Big Data One of the hottest terms in IT circles during the past 2 years has been “big data”. While many pundits will tell you that big data is all about processing data that has a combination of Volume, Velocity and Variety for everything from log file management […]
Perficient’s Big Data Stack – The Application Tier
In my last blog posting, I introduced Perficient’s Big Data Stack in order to provide a framework for a Big Data environment. The stack diagram below has two key vertical tiers – the application tier and the infrastructure tier. I will discuss the application tier in this article. Figure 1 – Perficient’s Big Data Stack […]
The Joy of End-of-Year Financial Reporting & A Merry New Year
Social Commentator, Will Rogers famously stated, “Even if you’re on the right track, you’ll get run over if you just sit there.” The once predictable & stable world of business has transformed into an unpredictable jungle that’s no place for the complacent finance organization. Our new normal environment requires finance to maneuver obstacles on an […]
Big Data Adoption Resources for Financial Institutions
Competition continues in the industry creating the need for transformational business strategies and technology to improve profitability for banks and financial institutions. As mentioned in our top technology trends post, Big data is widely talked about in banking as a catalyst for change. However, banks have only scratched the surface of using smarter analytics. As a technology service provider […]
Top 5 Technology Trends in Financial Services – November 2012
Trying to stay ahead of the curve when it comes to IT issues is a challenging task. Emerging technology forces in the financial services industry are already impacting business. The convergence of these forces does present challenges; however, it also provides a window of opportunity for financial institutions to elevate business performance and gain a […]
Oracle Technology Experts Reflect on Experiences and Trends
For years, our experts on various technology and solution areas have been blogging about Oracle news and applications. As an Oracle Platinum Partner, we are excited to announce that we now have an Oracle Technologies blog here at Perficient, where our team will continue to share their perspectives as they map business processes against Oracle […]
Big Data – Part 4 ( In Memory Analytics )
The last of the 4 part BigData trends. This post covers the role of in-memory analytics and some tools that are being used. What is In-Memory Analytics? To put it simple: Performing analysis on the memory/RAM. Flash memory’s price is decreasing and the RAM can store Terabyte-size datasets. And since 64 bit processors can address […]
Turning Customer Data into a Banking Goldmine with Big Data
Yesterday I sat in on a Big Thinkers in Big Data tweet chat hosted by Intel and Forrester’s Mike Gualtieri. With our Big Data in Financial Services webinar just around the corner I wanted to catch the latest on what others were saying about the topic and its relevancy in banking. As a marketer it is imperative I stay […]
Perficient’s Big Data Stack
Big Data has generated a lot of interest in the media and in industry, leading to the possible impression that every data problem is a “Big Data” problem. However, the amount of interest is justified given the performance and scalability boost possible and the economic feasibility of Big Data platforms enabled by commodity hardware clusters/grids […]
Big Data Trends (Part – 3) Open Source Statistical Programming
This is part 3 of the Big Data Trends i have been covering the past couple of weeks. I covered the changes to the traditional ETL solutions that are increasingly being used in enterprises ( stream processing ). This part covers yet another trend in Big Data. Open source statistical programming and Crowd sourced data […]