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. Analyzing resumes and job applications, tracking the efficacy of recruitment initiatives, and discovering patterns and trends in candidate behavior are all examples of this. What is recruitment analytics?

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Perficient

DECEMBER 13, 2023

The Essence of a Metric Store: A metric store is a centralized repository designed explicitly for managing metrics definitions and data. Sitting snugly between your upstream data warehouses and downstream business applications, this innovative layer fundamentally transforms how metrics are handled.

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TechCrunch

MAY 19, 2022

Everstream Analytics , a supply chain insights and risk analytics startup, today announced that it raised $24 million in a Series A round led by Morgan Stanley Investment Management with participation from Columbia Capital, StepStone Group, and DHL. Plenty of startups claim to do this, including Backbone , Altana , and Craft.

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Altexsoft

SEPTEMBER 19, 2023

Beyond its fundamental role in elevating customer experience, travel analytics has a valuable impact on revenue growth and cultivating a competitive edge. This article explores the influence of analytics on marketing strategies, revenue management, guest personalization, and other aspects of the travel industry.

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TechCrunch

JUNE 10, 2021

Productivity analytics startup Time is Ltd. wants to be the Google Analytics for company time. Furthermore, Ulf Zetterberg, founder and former CEO of contract discovery and analytics company Seal Software, is joining as president and co-founder. For example, a task set by The Wall Street Journal for Time is Ltd.

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CIO

MAY 8, 2024

As someone who has spent a significant part of my career in data and analytics, I’m an optimist and a believer in the transformative potential that can be achieved. I fully believe that AI offers a prime example of Amara’s Law in action—we may overestimate its short-term impact but profoundly underestimate its long-term significance.

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TechCrunch

JULY 12, 2021

One of the biggest reasons to use a public workspace is to enhance developer onboarding with a faster time to first call (TTFC), the most important metric you’ll need for a public API. Some people gloss over this step, preferring to learn what your tech offers interactively in the next steps. Step 2: Signup.

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TechCrunch

DECEMBER 6, 2022

. “Operational analytics” Fast-forward to April 2021, and the commercial MergeStat company was officially born, with DeVivo going on to lure Josue Lopez from cloud giant Equinix to serve as chief operating officer (COO), as well as official cofounder. Example pull request (PR) data derived via MergeStat.

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TechEmpower CTO

JULY 24, 2023

Can you provide specific examples of different types of customers, what they need, and what the system will do for them? What are your key Startup Metrics ? What are some examples of similar brands? For example, you might want to offer a discount to a given group to provide incentive. Who are the customers? Free trials?

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Perficient

NOVEMBER 1, 2023

It is essential to have the proper tools in place in order to track and monitor data analytics efficiently. We’ll walk you through installing Omnibug for analytics testing using the Chrome browser step-by-step in this blog. Why Use Omnibug for Analytics Testing? Why Use Omnibug for Analytics Testing?

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CIO

APRIL 25, 2024

For example, an early version of the revised job-matching effort was rather, for the lack of a better word, rude. As an example, Bottaro referenced the part of the system designed to understand intent. For example, if the LLM “gets it right 90% of the time, that means that one out of ten would have a horrible experience,” he said.

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Cloudera

JULY 21, 2022

Cloudera has partnered with Rill Data, an expert in metrics at any scale, as Cloudera’s preferred ISV partner to provide technical expertise and support services for Apache Druid customers. As creators and experts in Apache Druid, Rill understands the data store’s importance as the engine for real-time, highly interactive analytics.

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Perficient

FEBRUARY 14, 2024

Oracle Fusion HCM Analytics, a part of Oracle Fusion Data Intelligence Platform (DIP) (earlier known as Fusion Analytics Warehouse), equips various management levels with deep insights to effectively manage the workforce across the organization. What data to include in DIP?

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Trigent

SEPTEMBER 14, 2023

According to the Analytics Insights report, Google implements predictive analytics to identify employees at risk of leaving the company. Step 3: Machine Learning Algorithms to Analyze Data AI employs predictive analytics models, such as machine learning algorithms, to analyze the preprocessed data.

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AWS Machine Learning - AI

FEBRUARY 26, 2024

In this post, we demonstrate a few metrics for online LLM monitoring and their respective architecture for scale using AWS services such as Amazon CloudWatch and AWS Lambda. Overview of solution The first thing to consider is that different metrics require different computation considerations. The function invokes the modules.

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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. Identify Patterns Within Project Metrics. I originally started at Perficient as a Business Analyst, transitioning into Project Management as I continued in my career.

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Xebia

MARCH 28, 2024

However, in Xebia Data’s Analytics Engineering team’s day-to-day work for clients, we still see small and large companies struggling to address most of the core concepts. Since each team creates pipelines from scratch, alignment of definitions, metrics and KPIs is limited or even nonexistent and leads to discussions.

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CIO

OCTOBER 30, 2023

The following are a few real-world examples of the gains leading companies are realizing. We have more visibility into metrics that matter in terms of how we work and use our people,” revealed Chelsey Marr, senior director of the Tyson Technology Program Management Office. It’s easy to see constraints from competing priorities.”

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CIO

JANUARY 10, 2024

Optimizing cloud investments requires close collaboration with the rest of the business to understand current and future needs, building effective FinOps teams, partnering with providers, and ongoing monitoring of key performance metrics. For example, organizations may commit to containers that are too large, or reserve too much disk space.

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Accenture

JANUARY 15, 2020

When you mention metrics-driven coaching to an agile coach, you will often get an initial reaction that “Metrics are evil.” Many of these coaches have had experiences where metrics were used to evaluate, manipulate and control individuals and teams, rather than for self-managed growth and improvement programs.

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Capgemini

MAY 9, 2022

For example, smaller pharmaceutical companies frequently rely on manual, labor-intensive processes to track stock levels and reorder materials. For example, supply-chain managers can generate discrete reports – and those are a useful start. But implementing an ERP system is a major undertaking.

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CIO

APRIL 12, 2023

After walking his executive team through the data hops, flows, integrations, and processing across different ingestion software, databases, and analytical platforms, they were shocked by the complexity of their current data architecture and technology stack. What metrics are used to understand the business impact of real-time AI?

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David Walsh

FEBRUARY 21, 2019

As I’ve become more experienced as a developer and a businessman, I’ve realized that analytics are the best way to make decisions… and money. There are numerous services that allow you to track analytics but many are difficult to implement, are too costly, or don’t allow you to send and use data appropriately.

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Capgemini

MARCH 14, 2023

EVERYDAY AI: NEXT-GENERATION SELF-SERVICE ANALYTICS Bridget Shea 15th March 2023 Facebook Twitter Linkedin Organizations have been using the term “self-service analytics” for nearly a decade now, but for many companies, it’s not a source of value generation. But it’s more than that.

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Datavail

AUGUST 2, 2022

Considering a move to cloud analytics? Before you dive in headfirst, however, it’s important to understand what a cloud analytics migration will mean for your IT expenses. What are the Costs of Cloud Analytics? The costs of cloud analytics will vary depending on your technology stack. Analytics compute.

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Datavail

SEPTEMBER 2, 2021

Moving data analytics to the cloud would be much simpler if it were a “lift and shift” process. Since that’s not possible when you’re moving analytics to the cloud, you need to be prepared for the challenges you’ll face. But, there are many players in the data analytics market. However, those challenges shouldn’t discourage you.

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Cloudera

JULY 24, 2023

In their effort to reduce their technology spend, some organizations that leverage open source projects for advanced analytics often consider either building and maintaining their own runtime with the required data processing engines or retaining older, now obsolete, versions of legacy Cloudera runtimes (CDH or HDP).

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CIO

JANUARY 9, 2023

2] Here, we explore the demands and opportunities of edge computing and how an approach to Business Outcomes-as-a-Service can provide end-to-end analytics with lowered operational risk. It’s bringing advanced analytics and AI capabilities where they’re needed most – the edge. And they’re achieving significant wins. [2]

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Openxcell

JUNE 9, 2023

For example, if anyone logs on to amazon and makes a purchase, from card details, to location and preferences, all information is available over the internet very conveniently. Big Data analytics,on the other hand, refers to using this huge amount of data to make informed business decisions. What is Big Data Analytics?

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TechCrunch

MAY 8, 2023

A spreadsheet with those metrics laid out on a weekly basis will help you identify large upticks in costs, which can then guide your future budget allocations. Regression analysis If you’re looking to get analytical and have a minimum of 90 days of data at varying levels of spending, a regression analysis is your answer.

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TechCrunch

DECEMBER 24, 2020

Alex Circei is CEO and co-founder of Waydev , a Git analytics tool that measures engineers' performance automatically. An appropriate goal here would be to track and divide their team’s responsibilities more efficiently, which can be tracked using the same metrics, or cross-training members of other teams to assist with their tasks.

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Experience to Lead

SEPTEMBER 28, 2023

Using a combination of feedback tools, performance metrics and data analytics, ensures training investments are aligned and support business objectives. Common Metrics for Measuring Training Effectiveness Now we get to the crunch. Analyzing metrics gives you valuable insights into the training’s effectiveness.

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CIO

MARCH 26, 2024

But CIOs are also working with niche consultancies and startups for skills in areas such as cybersecurity, AI, cloud, analytics, and DevOps. Last June, for example, Dun & Bradstreet launched D&B.AI Dun & Bradstreet’s Manos recommends regular check-ins where key goals, metrics, and objectives are reviewed.

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Altexsoft

FEBRUARY 22, 2019

To deliver the most value, encourage your return and loyalty, executives of companies like these start their weeks with looking at metrics – pieces of quantifiable data that illustrate the changes in revenue and customer behavior. In this article, we will introduce you to metrics and KPIs to track your product success.

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TechCrunch

JUNE 22, 2022

Beyond data pipelines and statistical methods, and experimentation infrastructure relies on analytical workflows often sourced from difficult-to-configure cloud environments. For example, say a property-booking company runs an experiment aiming to increase the number of daily bookings that they receive.

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Datavail

JULY 28, 2022

You’ve already made the choice to move from on-premises data analytics to the cloud—which puts you in very good company. According to a survey of large enterprises by Teradata , 83 percent agree that the cloud is the best place to run analytics workloads, and 91 percent believe that analytics should be moving to the public cloud more quickly.

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CIO

MAY 15, 2023

Other sports have been quick to embrace the use of data and analytics to transform how athletes are recruited, trained, and prepped for competitions, how they adjust to changing circumstances during play, and how they break down successes and failures after competition. It’s automating a lot of that data processing and analytics generation.”

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