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Data analytics for financial services
2021-02-18 02:30:15| The Webmail Blog
Data analytics for financial services nellmarie.colman Wed, 02/17/2021 - 19:30 Financial services organizations today face major challenges. Their customers expect high-quality digital experiences such as video tellers, AI-driven business advisors and fast onboarding that delivers instant decisions and credit disbursement. They need to cut costs in order to grow and innovate, so they cant afford to invest in technologies that wont deliver cost savings. Plus, theyre under constant attack from cyber criminals, at a rate 300 times higher than other businesses. To address these challenges, many firms are looking to the cloud. In the cloud, theyre able to transform the way they do business, boost their cost efficiency and protect their sensitive business data. As a result, according to a recent financial services study by FinTech Connect, in partnership with Rackspace Technology and Google Cloud: 84% of financial services organizations report that their cloud platform is moderately-to-extremely important in driving business performance. But how does this work exactly? How has the cloud become so key to a financial services firms success? And how is the cloud different from previous technologies? According to surveyed firms, one main reason is the clouds ability to turn data into actionable insights. Data insights deliver a competitive edge Data is the lifeblood of financial services with 78% of firms reporting that gaining insight and value from data is moderately-to-extremely important for their organization. Theyre taking steps toward becoming truly data-driven organizations, where decision making is guided by reliable and actionable data. But where does that leave the other 22%? For them, a data-driven, 360-degree customer view is still far off. Many believe that theyre getting enough customer insight from their legacy systems, but as others raise the bar in terms of personalized products and experiences, enough customer insight becomes a moving target. Truly data-driven organizations are applying cloud technologies like AI and machine learning to: Better understand their customers Achieve predictive insights Safely share data across business units Automate processes and streamline data capture, at scale According to Simon Bennett, Rackspace Technology EMEA CTO, the first step is to gain control of your existing data. Get to know whats there and understand how its managed and updated. And as you combine that data with external information, you can get a fuller picture of your customers so you can make decisions that improve customer outcomes and your bottom line. Simon also added that this shift doesnt always mean leaving behind your legacy systems. It just means evolving your relationship with them. For example, you can run containers on a mainframe, a Unix system in your data center, or in the cloud. Its more a matter of embracing new development methods and seeing the cloud as a platform for business transformation not just a place to run workloads. Google Cloud Platform for financial services Half of the worlds top financial institutions rely on Google Cloud Platform (GCP) to achieve data insights and business transformation in the cloud including Goldman Sachs, Charles Schwab, Bloomberg, Citi and PayPal. With GCP, you have the tools you need to adapt to evolving customer expectations and fast-moving markets. Plus, GCP is built to address your security and compliance needs. GCP also provides the ability to test and trial new services without significant investment or risk. This allows your firm to be more experimental in your ideas and concepts, with less fear of failure. Rackspace Technology is here to help you make the most of GCP as well as AI and machine learning, Internet of Things and other emerging technologies so you can adopt new, innovative ways of delighting your customers. Learn more about how we can serve your financial services organization. Data analytics for financial servicesFinancial services organizations face big challenges but by turning to cloud-based data analytics, many are transforming the way they serve customers. Talk with our financial services technology specialists./industry/financial-servicesStart here Google CloudFinancial ServicesCloud InsightsNihar GuptaData a
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Italy fines Facebook another EUR 7 mln over improper data use
2021-02-17 11:05:00| Telecompaper Headlines
(Telecompaper) Italian antitrust watchdog AGCM has imposed a fresh EUR 7 million fine on Facebook for failing to comply with an earlier requirement to correct the improper collection of user data...
A mobile lockdown? Over a third of Brits working from home use mobile data to stay online
2021-02-15 01:00:00| Total Telecom industry news
- 61% of Brits also agree that being able to connect to mobile data has made the experience of working from home better - Younger people (61%) and those with children in the household (65%) are the groups most reliant on mobile data to keep them connected as they tackle studying and home-schooling. - Voice calls are making a comeback as ‘Zoom Fatigue’ sets in and cameras are switched off. - Mobile data is increasingly used for streaming services like Disney+, which have been an entertainment lifeline in lockdown…read more on TotalTele.com »
WEBINAR: Using data and technology to efficiently make swine health and production decisions
2021-02-12 23:07:00| National Hog Farmer
Technology and data analytics help make swine herd health and production decisions efficiently and effectively in todays challenging environment.
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WEBINAR: Using data and technology to efficiently make swine health and production decisions
2021-02-12 23:07:00| National Hog Farmer
LIVE WEBINAR: March 11, 2021 | 1:00PM CST The recent COVID-19 pandemic and economic impacts in the swine industry have changed some of our normal practices in swine health and production. We will be hearing from two of the leading swine veterinari
Tags: make
data
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technology
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