Tag: analytics

Feed: Actian. Author: Lewis Carr. And why is it better than a Data Lake or an Analytics Hub? In the opening installment of this blog series—Data Lakes, Data Warehouses and Data Hubs: Do we need another choice?  I explore why simply migrating these on-prem data integration, management, and analytics platforms to the Cloud does not fully address modern data analytics needs. In comparing these three platforms, it becomes clear that while all of them meet certain critical needs, none of them meet the needs of business end-users without significant support from IT. What we in fact need is a platform ... Read More

Feed: Cloudera Blog. Author: Kenny Gorman. Posted in Technical | January 19, 2022 2 min read We are excited to announce the release of Cloudera Streaming Analytics (CSA) 1.6 for CDP Private Cloud Base. With this release, we build on the foundation on 1.4 and 1.5 – with a number of fixes, enhancements, and features. Starting with this release, we now have an aligned release cycle for CSA Community Edition (CE). You can now expect simultaneous releases of CSA for both CE and CDP Private Cloud Base versions. This will ensure you get your hands on the newest features first, ... Read More

Feed: SAS Blogs. Author: Alex Coop. Mergers and acquisitions are difficult to pull off, but they can impress when the right strategy is applied. And analyzing your data almost always helps with the right strategy. In the first eight months of 2021, publicly announced M&A activities were valued at more than $3.6 trillion globally and $1.8 trillion in the US, according to Dealogic. Both numbers are the highest since 1995 when the data provider began its tracking. But the challenges that come with these types of strategic maneuvers are nothing to scoff at. The acquired companies in these situations usually ... Read More

Feed: Big Data Made Simple. Author: Lee Li Feng. The fintech industry is growing at an accelerated pace, driven by new technological innovations and evolving needs. In many cases, the modern enhancements across many IT sectors have had secondary effects across industries – and particularly on fintech products and services.For example, artificial intelligence (AI) now drives a large number of applications and major predictive market models/systems. Of particular note are big data analytics and product analytics. Both industries get a lot of news coverage, though normally in relation to social media or marketing. Yet many emerging fintech companies are using ... Read More

Feed: What's New. Author: Sharon Liao. We have heard from our customers that a secure, seamless, and easy-to-use authentication method is critical to the success of integrating Tableau analytics. Connected Apps, released in Tableau 2021.4, can provide a simple and delightful authentication experience to end users, whether you’re embedding Tableau in your own applications, client web portals, or third-party SaaS platforms implanted in your business. With Connected Apps, you can set up a direct trust relationship between Tableau and your application server. This enables users who already login to your application to single sign-on (SSO) to Tableau and view the ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Aileen Scott. Data science is a domain that combines data-bound analytical techniques and scientific theory to generate insights for business stakeholders. Its shape, elements, and size allow organizations to optimize operations, identify new business opportunities, and reduce the functional performance of departments such as marketing and sales. Simply put, data science creates a competitive edge against competitors by optimizing operations with unique data throughput. As Forbes reported, data-driven companies are 23 times more likely to win customers and 19 times more likely to be profitable. Let us read through the data ... Read More

Feed: AWS Big Data Blog. Data analytics remains a constantly hot topic. More and more businesses are beginning to understand the potential their data has to allow them to serve customers more effectively and give them a competitive advantage. However, for many small to medium businesses, gaining insight from their data can be challenging because they often lack in-house data engineering skills and knowledge. Data enrichment is another challenge. Businesses that focus on analytics using only their internal datasets miss the opportunity to gain better insights by using reliable and credible public datasets. Small to medium businesses are no exception ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Mary Data. 1. Travel Industry – Pricing OptimizationOnline travel websites, such as airline ticketing services, hotel websites or car rental websites, have turned to prescriptive analytics to shift through multiple complex iterations of travel factors, purchase and customer variables such as demographics and sociographic, demand levels, and other related data sources to optimize their pricing and sales. Hence recommending what price to be set to gain the most out of the transaction. 2. Health Care Sector – Improving Care, Reducing Costs In a pursuit to enable Critical healthcare decisions to be ... Read More

Feed: R-bloggers. Author: Bill Kapatsoulias. Reading Time: 13 minutes It’s time for another basketball analytics tutorial! This is for beginners and intermediate sports analytics enthusiasts. I will show you how to extract and prepare NBA data from basketball-reference.com and create a graph with a player’s career stats. I know it’s been a while since my last tutorial. To be honest, besides being quite busy with work, raising a baby (I have to admit I have the easy part of that, which is just taking her on walks, making her laugh, and changing diapers :D), and focusing on my Brazilian Jiu-Jitsu ... Read More

Feed: Teradata Blog. Though this article is on data analytics, let me start with space analytics. In space technology, a rover is a small vehicle that lands on a planet, such as Mars, and then makes an analysis of the surface. The rover is capable of very sophisticated analytics of complex terrains, atmospheres, and surfaces. The reason why the rover is capable of such advanced analytics is that it is not just a sample collection tool. It does most of the analytics directly on the planet.  Now try to imagine the space analogy in the context of data analytics. The database ... Read More