Category: Teradata

Feed: Teradata Blog. Today, adopting the cloud is a foregone conclusion for the enterprise. As the scope and diversity of data grows at an increasingly faster pace, it’s no wonder that nearly 60 % of North American enterprises now rely on public cloud platforms, five times the percentage that did just five years ago[1]. Gartner predicts that by 2022, 75% of all databases will be deployed or migrated to a cloud platform, with only 5% ever considered for repatriation to on-premises[2]. It’s clear that the cloud’s flexibility will rapidly become an essential success factor for businesses across every industry.But what’s ... Read More

Feed: Teradata Blog. Although the chief data officer role is a relatively new addition to the C-suite, it has now been in place long enough in many enterprises to make some general observations about people who are successful in the role and those who struggle to have an impact. Observations of CDOs and CDO-like roles in action across the public and private sector and in multiple industries have noticed the corresponding results in their organizations. These observations have identified four types that characterize the differences in how CDOs operate and the impact these differences have on effectiveness, so organizations can select the ... Read More

Feed: Teradata Blog. Organizations increasingly strive to provide more relevant, personalized and meaningful customer experiences (CXs). Data fuels the modern CX engine. Digitization has created unprecedented levels of customer data to record transactions, interactions and even observe customer behavior. Mar Tech innovations have enabled new customer insights and actions such as social listening and engagement, proximity marketing, browsing intent and retargeting, account-based marketing and others that build upon traditional CRM tools. While it may feel that enterprises are checking all the right boxes with each new CX investment, many organizations are now realizing that customer data, insights and actions are ... Read More

Feed: AWS Partner Network (APN) Blog. Author: Saunak Chandra. By Mitesh Shah, Sr. Cloud Product Manager at Denodo TechnologiesBy Saunak Chandra, Sr. Solutions Architect at AWSOrganizations of all sizes are facing an increasingly complex data landscape. Data now resides in multiple on-premises systems and across cloud environments, and applications need to consume data regardless of its location. The growing numbers and volumes of data sources are increasingly difficult to manage, and enterprises are grappling with emerging business requirements such as artificial intelligence (AI), machine learning (ML), cloud integration, and more. The need for greater agility and faster time-to-market is clear, ... Read More

Feed: Teradata Blog. What is topping your list of considerations in your migration to the cloud? If Geographic Architecture isn’t near the top, then it should be.What is a Geographic Architecture you may ask? That is the geographic placement of the analytic ecosystem elements in your geographic space. The bigger question you should ask is why should you care?Pull out a copy of your current Analytic Ecosystem Architecture and take a look. Chances are, like most companies, your architecture is centrally located and interconnected by large bandwidth, low latency Local Area Networks (LANs). Look at how many data connection lines interconnect ... Read More

Feed: Teradata Blog. Many of you have probably read the book Rich Dad, Poor Dad by Robert Kiyoaski and Sharon Lechter. It advocates the importance of financial literacy and building wealth by investing in assets. We can apply the same concept to data science and ask the question, “What is a rich data science model and what is a poor data science model?” My answer would be that a rich model is one which makes money for your company and a poor model is one which does not make money for your company So how do we make a rich data science ... Read More

Feed: Teradata Blog. Over the weekend, a viral Twitter thread exposed several issues in the credit lending decisioning process for Apple’s new payment card, underwritten by Goldman Sachs. For some context, Apple and Goldman Sachs were involved in alleged gender discrimination in credit card limits caused by biased algorithms powering Apple Card’s credit lending decisioning process. There was widespread social media instances confirming this discrimination, including Apple’s very own co-founder, Steve Wozniak and his spouse. The primary issue here is with the Black Box algorithm that generated Apple’s credit lending decisions. As laid out in the Twitter thread, Apple Card’s customer service ... Read More

Feed: Teradata Blog. I’m just back from the Teradata Universe conference in Denver and want to thank everyone there for their excitement and positive feedback on our Vantage Analyst product launch. Our customers have known about Vantage's analytic capabilities since the platform announcement last year, but with Vantage Analyst, the power of these capabilities – such as path analytics, predictive modeling, workflow design and scheduling, and coming in the next month, text and cluster analytics – is now available with easy-to-use web tools leveraging simple point-and-click interfaces. As we showed in Denver, Vantage analyst enables the business analyst to perform ... Read More

Feed: Microsoft Azure Blog. Author: John 'JG' Chirapurath. Organizations today must embrace a data-driven culture or risk being left behind. A recent Harvard Business Review survey found organizations with data-driven cultures improve revenue by four times and unlock rich insights to drive meaningful business transformation and customer satisfaction. As organizations evolve, new tools and resources are needed to enable them to harness the power of their data anywhere and to build a data-driven culture. Transform data into insights A data-driven culture requires the ability to derive timely and accurate business insights across all data. Modern organizations require analytics services that ... Read More

Feed: SAS Blogs. Author: Paul Jones. "Moving to cloud" is top of agenda for a lot of the customers I meet. They see the potential for agility or cost reduction. Interestingly when I was speaking to the CTO of one our customers that was an earlier adopter of cloud, he didn’t see an overall cost reduction and didn’t mind. But they did experience increased agility in IT which directly lead to business improvements and an impact on the bottom line. Food for thought. One of the biggest costs of running an analytics system can be the storage or database cost, ... Read More