Analytics Related Topics 
DevOps.com
JANUARY 4, 2023
It’s no secret that big tech companies like Google, Amazon and Netflix are not only leveraging data but also delivering embedded analytics and insights as a standard functionality of their software, services, applications and toolkits.
DevOps.com
SEPTEMBER 26, 2021
The post Harnessing the Value of Log Data Analytics appeared first on DevOps.com. Blogs DevOps Practice DevOps Toolbox Editorial Calendar Observability, Monitoring and Analytics analytics log data log data analytics observability
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Cloudera
AUGUST 17, 2022
?. What if you could access all your data and execute all your analytics in one workflow, quickly with only a small IT team? Data practitioners can now produce end to end analytic pipelines through one service. Readily Accessible Data Ingestion and Analytics.
Teradata
AUGUST 29, 2022
Teradata's new offerings, VantageCloud Lake and ClearScape Analytics, make it the complete cloud analytics & data platform, with cloud-native deployment and expanded analytics capabilities
Speaker: Sriram Parthasarathy
Predictive analytics is an increasingly common buzzword with many forms. It seems everyone has their own take on what it is and which best practices and business benefits apply. What does predictive analytics really mean? We’ll explore real-world examples of predictive in action and outline steps to help you maximize its value.
DevOps.com
NOVEMBER 9, 2022
The post Cribl Simplifies Telemetry Data Analytics appeared first on DevOps.com. Application Performance Management/Monitoring Blogs DataOps DevOps Practice Features News Cribl data analytics IT observability telemetry
Perficient
DECEMBER 22, 2022
Why Migrating to Google Analytics 4 (GA4) Should be a Priority. According to Forbes, 50% of businesses say that Big Data and Analytics have fundamentally changed business practices in their Sales and Marketing departments. What is Google Analytics 4 (GA4)? .
DevOps.com
SEPTEMBER 26, 2022
The post Scaling Predictive Analytics With AIOps to Drive Next-Gen SRE appeared first on DevOps.com. Application Performance Management/Monitoring Blogs DevOps Practice IT Help Desk AIOps IT observability Predictive Analytics site reliability engineering SRE
DevOps.com
SEPTEMBER 30, 2021
Contextual analytics, or embedding analytics directly into a business application’s transactional environment and core workflows, is the most sophisticated stage of business intelligence (BI) currently available to organizations today.
Perficient
DECEMBER 5, 2022
Cognos Analytics with Watson AI. Cognos Analytics, makes easy the discovering of related tables by highlighting the most important fields for you and then automatically create a relationship between tables. Analytics Data & Intelligence Cognos Cognos Analytics
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The longer you wait to modernize your application’s analytics, the longer it will take for you to realize this value. A blueprint helps you define your new solution, plot out how to get there, and determine what you’ll need in terms of time and resources.
Dataiku
FEBRUARY 1, 2023
Self-service analytics is a critical aspect of modern data-driven decision-making. A successful self-service analytics program enables users to explore data and identify data-driven insights relevant to their needs.
DevOps.com
OCTOBER 12, 2020
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
Perficient
FEBRUARY 23, 2023
Over the past several months I start receiving messages from Google announcing its deprecation of Universal Analytics in favor of Analytics 4 from July 1, 2023 ( and Analytics 360 got an additional 3 months beyond that date until October 1, 2023 ). Google Technology analytics
Hacker Earth Developers Blog
FEBRUARY 12, 2023
Data analytics in recruitment plays a significant role since it provides insights and information to help make hiring decisions. In this article, let’s look at how data analytics can help the recruitment process be more effective. What is recruitment analytics?
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Today, sophisticated capabilities such as adaptive security, predictive analytics, workflow, and writeback are taking analytics far beyond basic dashboards and reports. With cutting-edge capabilities like these, application teams are able to differentiate their products from the competition.
Sunflower Lab
OCTOBER 8, 2021
Firebase analytics get us more in-depth details of application details like active users, top conversation events, daily user engagement, crash free user percentage and more. In this article, we’ll go over: firebase analytics integration. Firebase Analytics Integration.
Teradata
FEBRUARY 9, 2023
To what extent has this climate held back advances in data analytics In the aftermath of the 2008 financial crash, service providers have been subject to increasing rules & requirements.
DevOps.com
APRIL 14, 2020
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.
Beyond B2B
FEBRUARY 15, 2022
As many companies struggle to adopt a data-driven culture and strategy, self-service analytics tools are becoming a must-have. IoT Advanced Analytics TrendMiner
Speaker: Andrew Wynn, Senior Product Manager, Looker
But proper data analytics solutions take work to deliver - it's not as simple as just building a dashboard. Learn product analytics best practices from Andrew Wynn, Product Manager at Looker. How Looker incorporates analytics in their product development process.
CTOvision
AUGUST 6, 2021
and its products like Gotham, Foundry, and Apollo on his blog : A brief background on Palantir – it is typically described as a company that focuses on big data analytics by writing software that enables effective analysis against complicated, data-driven problems.
DevOps.com
JULY 21, 2022
The post 3 Ways API Analytics Can Help Application Owners appeared first on DevOps.com. API Blogs DevOps Practice DevOps Toolbox analytics application development DevOps metricsSoftware development is fraught with risk that can run projects aground like a ship against a rocky beach.
Perficient
DECEMBER 19, 2022
One of these approaches is to be an analytical Project Manager, incorporating tactics from the typical Business Analyst role into day-to-day facilitation of the project.
Cloudera
APRIL 20, 2021
What is Streaming Analytics? Streaming Analytics is a type of data analysis that processes data streams for real-time analytics. Yet, the information will always delay if they leverage an analytics system built for the past. What are the advantages of Streaming Analytics?
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Data-driven decisions are no longer reserved for the few. Everyone needs data insights from the applications they use every day. Learn how embedded analytics is boosting user adoption, creating apps people love, and changing the game for software and SaaS providers.
Teradata
OCTOBER 12, 2022
ClearScape Analytics provides robust functionality giving people across the organization the ability to efficiently execute their roles in the analytics process on a common platform
DevOps.com
JANUARY 25, 2021
From an organizational perspective, an analytics workload is a way to gain a data-driven business advantage. The post An Analytics Workload is a Critical Data Management Tool appeared first on DevOps.com.
DevOps.com
MAY 28, 2021
Software product managers and developers typically treat analytics as a standalone capability—something to be integrated into their application’s dashboard or reporting module. As a product feature, analytics is undoubtedly a valuable tool. When data analytics is […].
Dataiku
MARCH 10, 2023
Applying best practices for data analytics in finance seems like a no-brainer. After all, finance teams are under intense pressure to create accurate reporting, forecasting , and intelligence for the business.
Speaker: Richard Cheng, Associate Product Manager, Mark43
How efficient intelligence and analytics will benefit your users. How to quickly and effectively embed professional-grade analytics in your product experiences. Mark43 is on a mission to bring public safety data management into the 21st century.
DXC
MAY 8, 2019
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 […].
DevOps.com
FEBRUARY 16, 2021
ZeroNorth today added an Advanced AppSec Risk Analytics module to its platform for orchestrating DevSecOps processes. The post ZeroNorth Adds Analytics App to Advance DevSecOps appeared first on DevOps.com.
Dataiku
FEBRUARY 16, 2023
Self-service analytics refers to decentralized ownership of the insight production process (and isn’t just “pulling numbers from dashboards”).
Datavail
AUGUST 19, 2021
We’ve done a lot of research on this question, and we’ve compiled that research into a list of the most critical benefits organizations are looking for in terms of business intelligence (BI) systems that provide data analytics. A Panoramic View of Cloud Analytics.
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Five years ago, data visualizations were a powerful way to differentiate a software application. Today, free visualizations seem to be everywhere. Two trends are forcing application providers to rethink how they offer analytics in their products.
Teradata
FEBRUARY 8, 2023
Telefonica Spain's Next-Best Action and Speech Analytics with ClearScape Analytics Increases Satisfaction
Cloudera
SEPTEMBER 22, 2022
To me, this means that by applying more data, analytics, and machine learning to reduce manual efforts helps you work smarter. Simply stated, this approach enables data to be collected from any location and reside in any location for analytics to then be performed.
DevOps.com
JUNE 11, 2020
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 […].
DevOps.com
OCTOBER 15, 2020
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.
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Download this guide for practical advice on using a semantic layer to improve data literacy and scale self-service analytics. The guide includes a checklist, an assessment, industry-specific use cases, and a data & analytics maturity model and roadmap.
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