How Infused Analytics Helps Product Managers Exceed Their KPIs

PMs are the CEOs of their product. This challenging role requires people management, expectation management, and delivering business results. In a SaaS environment, the challenge is compounded as results are measured daily, monthly and quarterly.

However, new vendors have emerged to assist Product Managers in delivering cutting edge experiences to their end-users which align to important KPIs. Learn the five ways infused analytics can help PMs exceed their key performance indicators.

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The Future is Self Service

This is a book about a very important, yet often misunderstood topic in the OEM software world, the topic of self-service data, analytics and automation.

Self service is no longer something software providers can ignore or approach in a haphazard fashion. Empowering users with the ability to collect, analyze and automate their data, and yours, can fundamentally change how a software product functions. Ensuring the right people always have access to the right information at the right times can be game-changing. Frankly, if your product doesn’t have self-service capabilities, you risk losing your users to platforms and products that do.

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Embedding Business Analytics

Choosing the right tools and services to embed into your product is always challenging. There are always many factors to consider, and the decisions you make today can affect the direction your product takes for years to come. That challenge has always been especially hard when adding analytics to your product. Many traditional analytic solutions simply weren’t designed for embedding while many others didn’t offer a business model to support them. And if your software is on or migrating to the cloud, as most companies are, finding cloud services that integrate with Amazon Web Services (AWS) also adds to the complexity.

In this book, we’ll outline both the promise and problems with today’s analytic tools and introduce you to a new, modern approach to business analytics in the cloud that can deliver the solutions your product needs and a business model specifically tailored for OEM software vendors.

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Embedded Analytics Built for Developers

Developers love Qrvey because Qrvey is built for the way you build software. Qrvey boosts developer productivity with low-code javascript widgets combined with a powerful suite of APIs that let you build custom analytics features directly into your SaaS application with full customization and white-labeling. You can easily integrate and embed data collection, transformation, analysis, visualizations, automation and AI/ML functionality. Best of all, Qrvey is the only cloud-native embedded platform that is 100% SDLC compliant.

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Enterprise Tech Recruitment Industry Landscape Report

Competition is fierce for hiring top engineering talent in today’s market. As engineering roles become more specialized, companies are fighting to hire from a small talent pool. To win this war for talent, you need a way to separate the great from the good.

Technical assessments were created to help you do just that – to narrow down your candidate pool, identify the best and the brightest, and help you make better hiring decisions. In this report, you will learn all that you need to know in order to choose the right platform to take your hiring to the next level, including:

  • What platforms rate the highest based on user review data.
  • What technical assessment platforms are available on the market.
  • How the platforms compare on factors like ease of use, quality of support, and integration APIs.

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Mid-Market Tech Recruitment Industry Landscape Report

Competition is fierce for hiring top engineering talent in today’s market. As engineering roles become more specialized, companies are fighting to hire from a small talent pool. To win this war for talent, you need a way to separate the great from the good.

Technical assessments were created to help you do just that – to narrow down your candidate pool, identify the best and the brightest, and help you make better hiring decisions. In this report, you will learn all that you need to know in order to choose the right platform to take your hiring to the next level, including:

  • What platforms rate the highest based on user review data.
  • What technical assessment platforms are available on the market.
  • How the platforms compare on factors like ease of use, quality of support, and integration APIs.

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The Tech Recruiter’s 2022 Handbook: How to Build a Remote Hiring System

The verdict is in: businesses that want to enter 2022 with a competitive edge in the technical hiring market must make remote hiring a core part of their strategy.

In this ebook, we offer actionable guidance around how to build and optimize your modernized, remote hiring process - from interviews to onboarding - that will result in a great candidate experience, improve your acceptance rates, and keep your engineering team happy and productive.

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Embedded Analytics – Build vs Buy

As a software company, you already know the value of data and analytics can bring to your business. That means the real decision is whether to build your own in-house analytics or invest in an analytics platform that can be easily embedded into your software. Fortunately, you can make the right decision by downloading Qrvey’s Build vs Buy guide for software providers.

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Embedded Analytics Product Fit Guide

Qrvey’s Embedded Analytics Product Fit Guide will walk you through the process of choosing an analytics provider and outline all of the steps involved. It was designed as a conversation starter to get you thinking about your specific needs, so you can align your requirements and priorities and ensure your embedded analytics solution is a perfect match for your needs.

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Embedded Analytics – Build vs Buy

As a software company, you already know the value of data and analytics can bring to your business. That means the real decision is whether to build your own in-house analytics or invest in an analytics platform that can be easily embedded into your software. Fortunately, you can make the right decision by downloading Qrvey’s Build vs Buy guide for software providers.

View Now

Embedded Analytics – Build vs Buy

As a software company, you already know the value of data and analytics can bring to your business. That means the real decision is whether to build your own in-house analytics or invest in an analytics platform that can be easily embedded into your software. Fortunately, you can make the right decision by downloading Qrvey’s Build vs Buy guide for software providers.

View Now

Embedded Analytics Product Fit Guide

Qrvey’s Embedded Analytics Product Fit Guide will walk you through the process of choosing an analytics provider and outline all of the steps involved. It was designed as a conversation starter to get you thinking about your specific needs, so you can align your requirements and priorities and ensure your embedded analytics solution is a perfect match for your needs.

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L’Intégration Des Données: Rendez-La Simple, Rapide, Et Pertinente

Lorsqu'il s'agit de planifier des pipelines d'intégration de données, plusieurs cas d'utilisation peuvent avoir un impact sur votre business intelligence (BI). Pourtant, l'objectif final est le même : simplifier et accélérer l'accès aux données pour l'analyse.

Lisez le rapport mondial 2021 Data Pipelines and Integration de Dresner Advisory Service et vous constaterez que la nécessité d'une meilleure intégration des données est évidente. En fait, 99% des entreprises qui ont réussi leurs initiatives de BI se sont beaucoup plus concentrées sur l'intégration de données que leurs pairs. Obtenez l'étude maintenant pour :

  • Découvrez les 3 principales priorités de transformation des données parmi les entreprises.
  • Voir la source et la cible de données n°1 pour l'intégration de données et les pipelines.
  • Découvrez 7 fonctions d'orchestration des données essentielles au succès de l'intégration des données.

Prêt à faire progresser les efforts d'intégration de données de votre entreprise ? Commencez par développer la bonne stratégie et en vous associant à des fournisseurs qui offrent les bonnes capacités pour créer et automatiser vos pipelines de données.

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Data integration: Make it Simple, Fast and Relevant

When it comes to planning for data integration pipelines, there are multiple use cases that can impact your business intelligence (BI). Still, the end goal is the same: Simplify and speed access to data for analysis.

Read Dresner Advisory Service’s 2021 Data Pipelines and Integration global report, and you’ll find the need for better data integration is clear. In fact, 99% of companies that succeeded with their BI initiatives focused significantly more on data integration than their peers. Get the study now to:

  • Uncover the top 3 data transformation priorities among businesses.
  • See the #1 data source and target for data integration and pipelines.
  • Explore 7 data orchestration functions critical to data integration success.

Ready to advance your company’s data integration efforts? Start by developing the right strategy—and partnering with vendors that deliver the right capabilities to build and automate your data pipelines.

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3 Façons D’Augmenter La Productivité De L’Entreprise Avec L’Intégration Automatisée Des Données

Alors qu'elles consolident et modernisent leurs data warehouses et data lakes on-premises dans le Cloud ou en créent de nouveaux, les entreprises doivent plus que jamais éviter les pièges du codage manuel.

De nombreux services informatiques se concentrent uniquement sur l'intégration des données, mais une solution plus étendue est nécessaire pour répondre aux besoins actuels des entreprises tout au long du cycle de vie de la gestion des données.

Ce document fournit des conseils sur la mise en œuvre d'une solution de gestion de données intelligente et automatisée, plutôt que sur la création d'intégrations de données personnalisées.

Téléchargez 3 façons dont le codage manuel mine la productivité de votre entreprise et découvrez :

  • 7 inconvénients du codage manuel pour l'IT et l'entreprise.
  • 4 éléments d'une gestion intelligente et automatisée des données dans le Cloud.
  • Comment assurer la pérennité de vos initiatives d'analyse de données.

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