Services built on Databricks' Unified Data Analytics Platform to provide complementary parallelised machine and human compute
Hivemind enables organisations to produce exceptional data. Its software allows clients to embed human decision-making in their data infrastructure so they can rely on data that is accurate, bespoke and efficiently delivered.
"We're thrilled to be working with Hivemind and look forward to delivering unique value to our joint customers," said Junta Nakai, Global Industry Leader of Financial Services and Sustainability at Databricks. "Our partnership with Hivemind helps enterprises unlock differentiated insights from Delta Lake for use-cases ranging from risk management to ESG investing.
Vodafone ramps data analytics ambitions with Google Cloud deal | FierceTelecom
Vodafone Group once again turned to Google Cloud to boost its data processing capabilities, inking a six-year partnership deal that will see the companies collaborate on development of a new analytics system.
The operator noted the system will allow it to move and process "huge volumes of data globally from multiple systems into the cloud." It pegged the initial figure at 5,000 data feeds per day, or the equivalent of 50 terabytes per day "and growing."
Oracle Analytics Cloud: Everything But the Kitchen Sink
Oracle is taking a "more is more" approach with the latest release of Oracle Analytics Cloud, its do-everything analytics and ML platform. Need explainable machine learning? How about graph analytics? Automated data prep? NLP? Oracle has it all–plus a new mobile app–in the new release.
Oracle has grown the feature set considerably with OAC version 6.0, which the company announced today . That means more data sources (JDBC and Google BigQuery connections are among the 50 data connectors available in the cloud or on prem); more users (business analysts, data engineers, citizen data scientists, departmental managers, domain experts, and executives are the projected users); and of course more capabilities (the options above are just a partial list).
Research: Executive management recognizes business value of analytics | ZDNet
This ebook, based on the latest ZDNet / TechRepublic special feature, examines how advances in AI, visualization and cloud technology are shaping modern data analytics, and how businesses are addressing data governance and a potential data science skills gap.
Leveraging such tools could make measurable contributions to businesses. For example, companies could maximize an impending opportunity, mitigate future risk, meet deliverable milestones, gain a competitive advantage and much more.
Avoid These 15 Common Google Analytics Mistakes
Don’t feel bad if you’re making mistakes in Google Analytics . Even experienced SEO professionals do. The good news is that you can learn to spot and solve them.
And if you don’t identify individual traffic categories, you just might be missing out on which types of traffic are successfully being driven to your website.
In this column, you’ll learn 15 of the most common Google Analytics mistakes — and how to find and fix them.
Tive and Everstream Analytics Partner To Combine
BOSTON and SAN MARCOS, Calif., May 04, 2021 (GLOBE NEWSWIRE) -- Tive , a leading in-transit visibility provider, and Everstream Analytics , a supply chain risk analytics company, today announced a partnership that combines Tive's real-time visibility with Everstream's predictive risk analytics to further reduce loss and waste, optimize on time and in full performance and increase collaboration between carriers and shippers.
The partnership is of particular interest to companies that ship temperature-sensitive goods such as perishables, consumer packaged goods and pharmaceuticals. Everstream's machine learning analyzes billions of data points each day to predict the temperature for every 10 miles on a route up to 2 weeks in advance of a shipment's departure. This ensures that the correct equipment is used, reducing transportation costs and ensuring shipment quality.
How to Turn Experience Analytics into Actions | CIO
How many employees have ever asked IT to collect more analytics? The answer, as you might have guessed, is somewhere around zero. Yet, IT is constantly collecting data with evermore zeal, believing it is the best way to measure their value and offset threats to budgets.
Of course, analytics are important, but they are only practically useful when they get IT to do something about a less than satisfactory digital experience.
Challenges of Predictive Analytics for Law Enforcement - insideBIGDATA
The idea of predictive analytics in policing is certainly nothing new to law enforcement or its critics. Once a simple thought exercise (and the trope behind more than a few science fiction stories), we have come to a point in our technological evolution where certain tools utilized by agencies resemble, to some degree, those seen in stories like The Minority Report .
Fraught with racial, social, privacy and socioeconomic concern , much of this controversy has centered on what happens when police use these tools to predict and prevent external crime. But there is a second, internal concern along the same lines presented to HR personnel and other hiring stakeholders within law enforcement agencies. Can the same types of tools legitimately help predict malicious or excessive use of force?
The Importance of Firmwide Analytics and Pricing | Clocktimizer - JDSupra
This week we are looking at one of the most challenging areas for firms: Pricing . Fixed fees grow ever-popular, but the data to support them is often weak. Many firms simply make an estimate of hours and multiply that by their blended rate. In turn, because these fees have little foundation in data they can lead to write-offs, or they can prevent a firm from pricing in a competitive way. At Clocktimizer we believe that the introduction of fixed fees is a good thing.
The theoretical perspective on pricing
According to Altman Weil’s 2018 report “95.8% of law firms expected increased price competition to be a permanent trend.” The logical conclusion is that value-based, and tailored pricing will become increasingly essential in order to win new clients or retain existing ones. The difficulty is in identifying what value really means to your clients.
Qlik Enhances Mobile Analytics Experience to Drive Informed Action and Enable Active Intelligence
Along with New Q2 Features, Qlik Expands End-to-End SaaS Platform Capability to Deliver Modern Analytic Data Pipelines to the Cloud
"Analytic data pipelines built for the cloud are the only ones that can deliver the real-time insights and action at the heart of Active Intelligence," said James Fisher, Chief Product Officer at Qlik. "With Qlik Sense Mobile for SaaS and our additional planned features, Qlik continues to enhance the only modern end-to-end platform that gives enterprises the analytic data pipelines required for real-time data delivery to capture business moments and drive unique value."
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