Digital Business Analytics: Accelerating your dashboard journey

Dynatrace

We introduced Dynatrace’s Digital Business Analytics in part one , as a way for our customers to tie business metrics to application performance and user experience, delivering unified insights into how these metrics influence business milestones and KPIs. Dynatrace news.

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.”

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The Analytics That Matter

CSS - Tricks

There are other analytics we can gather on a site, like usage analytics. For example, we might slap Google Analytics on a site, doing nothing but installing the generic snippet. Those are real user analytics, but it’s very generic analytic information. If you’re hoping for more useful analytics data on your site, you have to think about it a little harder up front. It takes a little effort to get the analytics you really care about.

Intelligent, context-aware AI analytics for all your custom metrics

Dynatrace

The post Intelligent, context-aware AI analytics for all your custom metrics appeared first on Dynatrace blog. Dynatrace news.

Transform digital experience in real-time using Experience Cloud ID from Adobe Analytics

Dynatrace

Many enterprise digital marketing teams use the best-in-class web analytics solutions like Adobe Analytics to see which users are abandon ing their journey , how paid search and email campaigns are performing, and to understand user behavior. Dynatrace news.

Digital Business Analytics: Let’s get started!

Dynatrace

We introduced Digital Business Analytics in part one as a way for our customers to tie business metrics to application performance and user experience, delivering unified insights into how these metrics influence business milestones and KPIs. Digital Business Analytics extends the Dynatrace Software Intelligence platform to mine the data Dynatrace already observes, creating new opportunities for improving business outcomes. A sample Digital Business Analytics dashboard.

Google Analytics and Dynatrace – Why you need both

Dynatrace

In this post, I wanted to share how I use Google Analytics together with Dynatrace to give me a more complete picture of my customers, and their experience across our digital channels. Google Analytics. Almost all marketers will be familiar with Google Analytics. This doesn’t fully sum up how I use Google Analytics, but for those who aren’t familiar with it, it should serve as a basic overview. Digital and Business Analytics. Dynatrace news.

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The Power of Integrated Analytics Within an IMDG

ScaleOut Software

ScaleOut StateServer® Pro Adds Analytics to In-Memory Data Grids . This can saturate the client’s CPU and delay responses, as illustrated in the following diagram: ScaleOut StateServer Pro: Integrated Data Analytics. In-Memory Data Grids for Fast-Changing Data.

The Power of Integrated Analytics Within an IMDG

ScaleOut Software

ScaleOut StateServer® Pro Adds Analytics to In-Memory Data Grids . This can saturate the client’s CPU and delay responses, as illustrated in the following diagram: ScaleOut StateServer Pro: Integrated Data Analytics. In-Memory Data Grids for Fast-Changing Data.

Tightening the communication within BizDevOps with Adobe Analytics & Dynatrace

Dynatrace

For example, I’ll get asked “We are using Adobe Analytics/Omniture SiteCatalyst , would we retire this when we use Dynatrace?” The only exception to this would be if you have Adobe Analytics for the sole purpose of understanding geographically where your users are coming from. Cool parts of integrating Adobe Analytics and Dynatrace. Therefore, by integrating Adobe Analytics and Dynatrace you get a lot more useful insights to tweak and optimize the perfect performance.

Introducing Digital Business Analytics: AI-powered real-time answers for better business outcomes

Dynatrace

On the other side of the organization, application owners have hired teams of analysts to dig through web analytics tools to gain insights into the customer experience. Welcome to Dynatrace Digital Business Analytics. What does this mean and how can you unlock Digital Business Analytics? With Digital Business Analytics, customers are already delivering tangible business results and pioneering digital transformation across various industries and organization sizes.

Ensure unrivaled customer experience with Davis AI-powered HTTP and custom error analytics

Dynatrace

The post Ensure unrivaled customer experience with Davis AI-powered HTTP and custom error analytics appeared first on Dynatrace blog. Dynatrace news.

Ensure unrivaled customer experience with Davis AI-powered HTTP and custom error analytics

Dynatrace

The post Ensure unrivaled customer experience with Davis AI-powered HTTP and custom error analytics appeared first on Dynatrace blog. Dynatrace news.

Actionable insights with our Adobe Analytics integration and new web properties (referrer, UTM…)

Dynatrace

While Dynatrace provides software intelligence to accelerate your company’s digital transformation, web analytics tools like Adobe Analytics help you deeply understand your user journeys, segmentation, behavior, and strategic business metrics such as revenue, orders, and conversion goals. But whenever you see one of your KPIs underperforming, does your web analytics tool give you a clear answer as to why? Google Analytics. Dynatrace news.

Real-Time Digital Twins: A New Approach to Streaming Analytics

ScaleOut Software

Consider the typical, conventional streaming analytics pipeline available on popular cloud platforms: A conventional pipeline combines telemetry from all data sources into a single stream which is queried by the user’s streaming analytics application. These query results are then forwarded to a data lake for offline analytics using tools such as Spark and for data visualization.

Using Real-Time Digital Twins for Aggregate Analytics

ScaleOut Software

When analyzing telemetry from a large population of data sources, such as a fleet of rental cars or IoT devices in “smart cities” deployments, it’s difficult if not impossible for conventional streaming analytics platforms to track the behavior of each individual data source and derive actionable information in real time. Use State Information for Aggregate Analytics. This new paradigm for streaming analytics can be applied in numerous applications.

Using Real-Time Digital Twins for Aggregate Analytics

ScaleOut Software

When analyzing telemetry from a large population of data sources, such as a fleet of rental cars or IoT devices in “smart cities” deployments, it’s difficult if not impossible for conventional streaming analytics platforms to track the behavior of each individual data source and derive actionable information in real time. Use State Information for Aggregate Analytics. This new paradigm for streaming analytics can be applied to numerous applications.

Real-Time Digital Twins: A New Approach to Streaming Analytics

ScaleOut Software

Consider the typical, conventional streaming analytics pipeline available on popular cloud platforms: A conventional pipeline combines telemetry from all data sources into a single stream which is queried by the user’s streaming analytics application. These query results are then forwarded to a data lake for offline analytics using tools such as Spark and for data visualization.

Introducing AthenaX, Uber Engineering’s Open Source Streaming Analytics Platform

Uber Engineering

These insights range from in-the-moment traffic conditions that provide guidance on trip routes to the Estimated Time of Delivery (ETD) of an UberEATS … The post Introducing AthenaX, Uber Engineering’s Open Source Streaming Analytics Platform appeared first on Uber Engineering Blog. Uber facilitates seamless and more enjoyable user experiences by channeling data from a variety of real-time sources.

Procella: unifying serving and analytical data at YouTube

The Morning Paper

Procella: unifying serving and analytical data at YouTube Chattopadhyay et al., ” For just the YouTube Analytics application, we’re looking at metrics like this, with a 99%-ile latency of 412ms: Embedded statistics use cases include the various counters such as views, likes, and subscriptions that are included in pages. Many modern analytical systems today achieve this by using LLVM to compile the execution plan to native code at query time.

Follower Clusters – 3 Major Use Cases for Syncing SQL & NoSQL Deployments

Scalegrid

Data Analytics. In most cases, the culprit turns out to be an analytics job that is accessing tons of data and ends up slowing down the entire system. Here are the two options we typically suggest: If the analytics job is running on the primary/master server, move it to a secondary/replica server. If the analytics job is already running on a secondary node, and the performance degradation is unacceptable, we recommend moving the jobs to a dedicated analytics cluster.

Probabilistic Data Structures for Web Analytics and Data Mining

Highly Scalable

Statistical analysis and mining of huge multi-terabyte data sets is a common task nowadays, especially in the areas like web analytics and Internet advertising. This approach often leads to heavyweight high-latency analytical processes and poor applicability to realtime use cases. Analysis of such large data sets often requires powerful distributed data stores like Hadoop and heavy data processing with techniques like MapReduce.

Gandalf: an intelligent, end-to-end analytics service for safe deployment in cloud-scale infrastructure

The Morning Paper

Gandalf: an intelligent, end-to-end analytics service for safe deployment in cloud-scale infrastructure , Li et al., NSDI’20. Modern software systems at scale are incredibly complex ever changing environments. Despite all the pre-deployment testing you might employ, this makes it really tough to change them with confidence.

What is Greenplum Database? Intro to the Big Data Database

Scalegrid

Greenplum Database is an open-source , hardware-agnostic MPP database for analytics, based on PostgreSQL and developed by Pivotal who was later acquired by VMware. This feature-packed database provides powerful and rapid analytics on data that scales up to petabyte volumes. See why Greenplum is the best database for analytics, machine learning, and AI use cases. Let’s walk through the top use cases for Greenplum: Analytics.

Why Telcos Need a Real-Time Analytics Strategy

VoltDB

Historically, telco analytics have been limited and difficult. Analytics and insights have always taken a back seat to the first two priorities – accurate data processing and billing. In the telco world, batch processing has been the de facto choice for data processing and billing, so any analytics strategy had to be based on a batch processing model. Does this affect our analytics strategy? There is no substitute for real-time analytics and action.

Why Telcos Need a Real-Time Analytics Strategy

VoltDB

Historically, telco analytics have been limited and difficult. Analytics and insights have always taken a back seat to the first two priorities – accurate data processing and billing. In the telco world, batch processing has been the de facto choice for data processing and billing, so any analytics strategy had to be based on a batch processing model. Does this affect our analytics strategy? There is no substitute for real-time analytics and action.

How Netflix uses Druid for Real-time Insights to Ensure a High-Quality Experience

The Netflix TechBlog

apache realtime druid metrics-and-analytics kafkaBy Ben Sykes Continue reading on Netflix TechBlog ».

Observations on the Importance of Cloud-based Analytics

All Things Distributed

Many of these innovations will have a significant analytics component or may even be completely driven by it. For example many of the Internet of Things innovations that we have seen come to life in the past years on AWS all have a significant analytics components to it. I have seen our customers do so many radical new things with the analytics tools that our partners and us make available that I have made a few observations I would like to share with you.

Billion-dollar problem solved through 21-day digital transformation

Dynatrace

Dynatrace Digital Business Analytics enabled the bank to have real-time dashboards showing the business KPIs and the most success relevant IT metrics of all the hard work. Let your Dynatrace Sales Engineer know you want to get started with Digital Business Analytics. Dynatrace news.

Spice up your Analytics: Amazon QuickSight Now Generally Available in N. Virginia, Oregon, and Ireland.

All Things Distributed

SPICE sits between the user interface and the data source and can rapidly ingest all or part of the data into its fast, in-memory, columnar-based data store that’s optimized for analytical queries. Collaboration and sharing of live analytics : Users often want to slice and dice their data and share it in various ways. They plan to adopt QuickSight for their new data solution and looks forward to QuickSight democratizing business analytics in their company.

How Our Paths Brought Us to Data and Netflix

The Netflix TechBlog

Part of our series on who works in Analytics at Netflix?—?and Over the course of the four years it became clear that I enjoyed combining analytical skills with solving real world problems, so a PhD in Statistics was a natural next step. netflix data-science data-engineering analytics

Data Democratization and How to Get Started?

DZone

big data performance data data analytics business intelligence data democratization analyics data analysis dashboardToday data is an important factor for business success. In every business, it has been observed that data is playing a game-changing moment to improve business performance. Data is important and necessary in this increasingly competitive world.

Follower Clusters – 3 Major Use Cases for Syncing SQL & NoSQL Deployments

High Scalability

Here are a few critical ways in which it differs from replication: Analytics Cluster Appliction monitoring Cloning Clustering Database Database Development Database Reporting Database Testing DevOps Follower Cluster MongoDB Monitoring MySQL Postgres Production Data Replication admin analytics best platform cluster clusters database database replication database scalability databases deployment infrastructure mysql mysql cluster mysql load optimization postgresql replication sql testing

InsurTechs and incumbents: Betting together on digital business

Dynatrace

Similarly, business teams rely on web analytics tools to understand user behavior and trends. But traditional IT and web analytics tools live in separate domains and operate on separate timetables, limiting the insights one can offer the other. Dynatrace news.

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Frictionless retail: A pandemic imperative for IT

Dynatrace

Yesterday’s nice-to-have is today’s must-have It was never ideal to rely exclusively on business intelligence or web analytics tools to discover poor business outcomes caused by friction in the purchase funnel. You’ll benefit through ad hoc analytics to drive real-time collaboration.

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Driving down the cost of Big-Data analytics - All Things Distributed

All Things Distributed

Driving down the cost of Big-Data analytics. The Amazon Elastic MapReduce (EMR) team announced today the ability to seamlessly use Amazon EC2 Spot Instances with their service, significantly driving down the cost of data analytics in the cloud. Hadoop is quickly becoming the preferred tool for this type of large scale data analytics. An interesting observation is that data analytics is no longer the purview of large enterprises. All Things Distributed.

ScaleGrid DBaaS Expands MySQL Hosting Services Through AWS Cloud

Scalegrid

The platform allows MySQL AWS administrators to automate their time-consuming database operations in the cloud and improve their performance with high availability, disaster recovery, polyglot persistence, and advanced monitoring and analytics. PALO ALTO, Calif., June 6, 2019 – ScaleGrid , the Database-as-a-Service (DBaaS) leader in the SQL and NoSQL space, has announced the expansion of their fully managed MySQL Hosting services to support Amazon Web Services (AWS) cloud.

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Optimize your marketing campaign investment by leveraging BizDevOps

Dynatrace

The “normal” set up, is that marketers will be looking at their web-analytics solutions, whilst the IT operations team are looking at their monitoring but neither are connected or talking with one another about what is going on in each other’s team. You might be now thinking; I have my campaign tracking setup in my campaign management tool and web analytics tool. Digital experience Digital transformation BizDevOps BizOps Digital Business AnalyticsDynatrace news.

ScaleOut Software Releases New Video on Real-Time Digital Twins

ScaleOut Software

Check out this new video which depicts the challenges in using conventional tools for streaming analytics to track and respond to thousands of data sources in a live system. “Tame Your Data Monster” illustrates the power of real-time digital twins in an entertaining new video.

Abandoned Shopping Cart – Minimizing errors, maximizing revenue

Dynatrace

Digital experience Digital Business AnalyticsDynatrace news. There are many reasons why people abandon shopping carts. Putting aside pricing, shipping, stock, or simply changing your mind, performance issues are a significant proportion of why people don’t check out.

PostgreSQL Trends: Most Popular Cloud Providers, Languages, VACUUM, Query Management Strategies & Deployment Types in Enterprise

Scalegrid

PostgreSQL popularity is skyrocketing in the enterprise space. As this open source database continues to pull new users from expensive commercial database management systems like Oracle, DB2 and SQL Server, organizations are adopting new approaches and evolving their own to maintain the exceptional performance of their SQL deployments. We recently attended the PostgresConf event in San Jose to hear from the most active PostgreSQL user base on their database management strategies.

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2019 PostgreSQL Trends Report: Private vs. Public Cloud, Migrations, Database Combinations & Top Reasons Used

High Scalability

PostgreSQL is an open source object-relational database system that has soared in popularity over the past 30 years from its active, loyal, and growing community. For the 2nd year in a row, PostgreSQL has kept the title of #1 fastest growing database in the world according to the DBMS of the Year report by the experts at DB-Engines. So what makes PostgreSQL so special, and how is it being used today?

Testing AI-based apps? Think like a human

TechBeacon Testing

App Dev & Testing, Testing, Artificial Intelligence (AI), Machine Learning, Predictive Analytics, Special Coverage: TSQA 2020 ConferenceYour testing of software that includes artificial intelligence (AI) components will be more sophisticated and robust if you just think in human terms.