Embedded Analytics Essentials: A Checklist for Success

DevOps.com

Embedded analytics brings many […]. The post Embedded Analytics Essentials: A Checklist for Success appeared first on DevOps.com. Blogs DevOps Toolbox Doin' DevOps business intelligence dashboards Embedded analytics user experience

Tableau Software integrates with Einstein Analytics for powerful data analytics

CTOvision

Tableau Software has announced it will bring together Tableau and Salesforce’s Einstein Analytics, providing customers with access to a broad and deep analytics platform. Einstein Analytics will be renamed to Tableau […]. News Tableau Software

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What is operationalized analytics?

DXC

Organizations with a high “Analytics IQ” have strategy, culture and continuous-improvement processes that help them identify and develop new digital business models. Powering these capabilities is the organization’s move from ad hoc to operationalized analytics. Seamless data flow Operationalized analytics is the interoperation of multiple disciplines to support the seamless flow of data, from initial […].

Scalyr Alters Log Analytics Economics

DevOps.com

Scalyr today announced that its log analytics cloud service is now capable of ingesting over 200TBs of data per customer per day in real-time. The post Scalyr Alters Log Analytics Economics appeared first on DevOps.com. Blogs DevOps in the Cloud analytics cloud service data storage log analytics SaaSCompany CEO Christine Heckart said the goal is to make as much log data available at a price point that will continue to be less than $5 per GB at scale. […].

Are Your Embedded Analytics DevOps-Friendly?

Does your analytics solution work with your current tech stack and DevOps practices? If not, any update to the analytics could increase deployment complexity and become difficult to maintain. Learn the 5 elements of a DevOps-friendly embedded analytics solution.

Has the Time Come for IT Predictive Analytics?

DevOps.com

Predictive analytics technologies have become critical to compete in manufacturing (predicting machine failure), banking (predicting fraud), e-commerce (predicting buying behavior) as well as to address horizontal use cases such as cybersecurity breach prevention and sales forecasting.

Logi Analytics Simplifies Dashboard Development

DevOps.com

Logi Analytics launched a tool that promises to make it easier to design, build and embed interactive dashboards and data visualization within applications. Based on technology Logi Analytics gained via its acquisition of […]. The post Logi Analytics Simplifies Dashboard Development appeared first on DevOps.com. Blogs DevOps Toolbox Enterprise DevOps application development business intelligence dashboards data analysts data analytics data visualization

Acquisitions to Fuel Programmable Analytics

DevOps.com

Now that Tableau Software has agreed to be acquired by Salesforce and Looker is set to become a part of Google, the rate at which analytics will be embedded within almost every application is about to accelerate. The post Acquisitions to Fuel Programmable Analytics appeared first on DevOps.com. Blogs DevOps Toolbox Enterprise DevOps Features analytics devops google Looker programmable analytics Salesforce Tableau Software

Mythbusting the Analytics Journey

The Netflix TechBlog

Part of our series on who works in Analytics at Netflix?—?and and what the role entails by Alex Diamond This Q&A aims to mythbust some common misconceptions about succeeding in analytics at a big tech company. data-engineering data-science data-visualization netflix analytics

Streaming Analytics in the Real World

Cloudera

From leading banks, and insurance organizations to some of the largest telcos, manufacturers, retailers, healthcare and pharma, organizations across diverse verticals lead the way with real-time data and streaming analytics. Streaming analytics platforms, like Cloudera, can help. .

The Essential Guide to Building Analytic Applications

Embedding dashboards, reports, and analytics in an existing application presents some unique opportunities—and poses unique challenges—to software teams. Download this eBook to hear 16 product experts share insights on business intelligence, UI/UX, security, and everything that goes into building a successful application with analytics at its core.

Pinpoint Dives Deeper into Software Delivery Analytics

DevOps.com

The post Pinpoint Dives Deeper into Software Delivery Analytics appeared first on DevOps.com. Blogs DevOps Practice DevOps Toolbox analytics application development devops metrics software delivery Software Delivery Management

Location Data and Analytics for COVID-19 - A Zaloni Resource

Zaloni

Video Analytics – An Introductory Overview

Dell EMC

Co-Author: Benita Mordi, Artificial Intelligence and IoT Strategist Overview Increasing hours of video footage, combined with the limits of human biology, make video analytics software essential to processing large amounts of video streams. Advances in storage capabilities, video and image resolution drove video analytics adoption over the last. Artificial Intelligence Data Analytics Features Big Data Dell Technologies Internet of Things

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Datadog Expands Scope of Monitoring, Analytics Services

DevOps.com

Datadog, at its online Dash conference today, launched an incident management platform along with additional analytics tools to identify application errors and performance and compliance issues. The post Datadog Expands Scope of Monitoring, Analytics Services appeared first on DevOps.com.

Data Analytics in the Cloud for Developers and Founders

Speaker: Javier Ramírez, Senior AWS Developer Advocate, AWS

You have lots of data, and you are probably thinking of using the cloud to analyze it. But how will you move data into the cloud? In which format? How will you validate and prepare the data? What about streaming data? Can data scientists discover and use the data? Can business people create reports via drag and drop? Can operations monitor what’s going on? Will the data lake scale when you have twice as much data? Is your data secure? In this session, we address common pitfalls of building data lakes and show how AWS can help you manage data and analytics more efficiently.

Dun & Bradstreet: A leader in commercial data and analytics

CTOvision

Dun & Bradstreet is recognized as the global leader in commercial data and analytics, […]. We track Dun & Bradstreet in the CTOvision tech directory as a a Big Data company. Big Data Companies Carahsoft

3 Steps to Faster Insights in Data Analytics

Data Virtualization

In recent years, we have seen wide adoption of data analytics. However, most organizations continue to find it challenging to quickly yield actionable insights. Some issues that have been most often cited for this include: Poor data quality: While preparing.

Data analytics 101: What it means, and why it matters

TechBeacon

Incorporating analytics into the enterprise toolkit can be straightforward or complex, relatively inexpensive or a multimillion-dollar initiative. Enterprise IT, Data Management, Data Warehouse, Analytics, Lookbook, Big Data

Predictive vs. Prescriptive Analytics: What’s the Difference?

Dataiku

Is there a time when both analytics approaches should be used in unison? The bulk of an organization’s data science, machine learning, and AI conquests come down to improving decision-making capabilities.

How to Choose the Best Embedded Analytics Solution to Modernize Your Application

If you are looking to modernize your application to improve competitiveness, then one of the quickest wins you can have is to embed sophisticated analytics that will wow your existing and prospective customers.

Analytics Maturity Model: Levels, Technologies, and Applications

Altexsoft

Still, today, according to Deloitte research, insight-driven companies are fewer than those not using an analytical approach to decision-making, even though the majority agrees on its importance. What is analytics maturity model? Stages of analytics maturity.

Why your predictive analytics models are no longer accurate

TechBeacon

Analytics models have always used patterns from the past to predict the future. Enterprise IT, Data Management, Pandemic, Analytics, Artificial Intelligence (AI), Machine Learning, Predictive Analytics

Scalyr Adds Hindsight Service to IT Analytics Portfolio

DevOps.com

The post Scalyr Adds Hindsight Service to IT Analytics Portfolio appeared first on DevOps.com. Application Performance Management/Monitoring Blogs ELK IT analytics observability Scalyr

Kentik: Cloud Native Applications Need Network Analytics

DevOps.com

Kentik has a notion that in the age of cloud native, network analytics are as important as ever. In fact, network analytics may be more important than ever. The post Kentik: Cloud Native Applications Need Network Analytics appeared first on DevOps.com. Blogs DevOps in the Cloud Enterprise DevOps Podcasts AIOps cloud-native DataOps Kentik network analyticsMoving everything into the cloud seems to have taken the spotlight from the network.

The Rise of Embedded Self-Service Analytics

Speaker: Chris Von Simson & Nat Venkataraman

Can your users get the data and analytics they need without leaving your application? Watch this webinar with Chris von Simson of Dresner Advisory Services as he shares why user enablement has emerged as the theme in today’s embedded analytics landscape.

The Essential Toolbox for DevOps Analytics

DevOps.com

The post The Essential Toolbox for DevOps Analytics appeared first on DevOps.com. Blogs Continuous Testing DevOps Practice DevOps Toolbox Enterprise DevOps actionable insights CI/CD continuous testing data analytics devops tools executive dashboardsWith DevOps teams under constant pressure to improve software delivery cycles while maintaining—and improving—quality, many have turned to continuous testing (CT), implementing it as part of their overall development strategy.

Minding the Analytics Gap

CTOvision

The article titled Minding The Analytics Gap by Sam Ransbotham, David Kiron and Pamela Kirk Prentice, highlights the gap between an organization’s capacity to produce analytical results and its ability to apply them effectively to business issues.Key takeaway: XL Group plc, a global insurance and reinsurance company based in Dublin, Ireland, is a case in point. They are not comfortable making decisions based on analytical approaches that they do not fully understand.

GoodData: Collaborative Analytics

CTOvision

They provide advanced analytics for driven organizations to create new revenue streams. The post GoodData: Collaborative Analytics appeared first on CTOvision.com. Analysis Analytical Tool Companies Big Data Company GoodDataGoodData goes beyond BI to deliver high value Insights as a Service. Their strength is helping marketers and ISVs understand their customers’ behavior and needs. For an overview see this video: For more see: gooddata.com.

Red Owl Analytics: Next generation analytic platform

CTOvision

This is an update of our write-up on Red Owl Analytics. We cover them in our special reports on Analytical Tools , Big Data , and Security. We have followed Red Owl analytics from their beginning as a concept to a stealthy startup to their current award winning/mind-share-grabbing status. Red Owl Analytics is a mixture of people/process and technology that was conceptualized and born into a new world where new realities must be understood. By Bob Gourley.

How Banks Are Winning with AI and Automated Machine Learning

Banks have always relied on predictions to make their decisions. Estimating the risks or rewards of making a particular loan, for example, has traditionally fallen under the purview of bankers with deep knowledge of the industry and extensive expertise. But times are changing. Today, banks realize that data science can significantly speed up these decisions with accurate and targeted predictive analytics. By leveraging the power of automated machine learning, banks have the potential to make data-driven decisions for products, services, and operations. Read the white paper, How Banks Are Winning with AI and Automated Machine Learning, to find out more about how banks are tackling their biggest data science challenges.

Redefine Customer Data Analytics Using an Open Source Stack

The New Stack

In this post, we will talk about how you can build your entire customer stack using open source tools without having to compromise with the security of your data or the time taken to churn effective analytics from your customer data. Why an Open Source Analytics Stack?

Is Your Business Ready for the New Generation of Analytics?

TIBCO - Connected Intelligence

New year, new generation of analytics. The last year brought a lot of changes, including shifts within the analytics landscape to bring together capabilities that support agility and speed in decision making. Move from Crisis to Recovery with Hyperconverged Analytics.

Analytics at Netflix: Who we are and what we do

The Netflix TechBlog

But there is far less agreement on what that term “data analytics” actually means?—?or But here we are talking about Netflix’s Data Science and Engineering group, which specializes in analytics at scale. In this post, we refer to these two titles collectively as the “analytics role.”

Building Self-service Cloud Analytics with Oracle Analytics Cloud (OAC) & Autonomous Data Warehouse (ADW)

RapidValue

Analytics is all about meaningful information at your fingertips. Reporting solutions in Oracle has gradually evolved from BI Publisher to OBIEE (Oracle Business Intelligence Enterprise Edition) both on premise and cloud visualization and now Oracle Analytics PaaS solution. Oracle Analytics Cloud (OAC) has data reporting, visualization, NLP and voice command capabilities to name a few. Leveraging OAC & OADW for Agile Analytics.

From Build to Buy: The Path to Better Analytics for Your Application

Speaker: Ardeshir Ghanbarzadeh, Senior Product Marketing Manager, Logi Analytics

Making the transition from building your analytics in-house to investing in a third-party embedded solution can be complicated.Watch this webinar with Ardeshir Ghanbarzadeh, Senior Product Marketing Manager at Logi Analytics, for tips on making the transition as smooth as possible, and getting on the right path to better analytics for your app!