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What is first-party data?

Intercom, Inc.

First-party data is the future of online engagement and customer experiences. This isn’t surprising given competitors such as Apple’s Safari and Mozilla Firefox are cookieless by default – however there are already debates about how Google will collect and use data thereafter.

Data 179
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Best Data Visualization Tools

The Daily Egg

By 2025, we’re projected to produce 463 exabytes (4,630,000,000,000,000,000 bytes) of data every day. Which is cool and all… but what does that mean for business owners, digital marketers, bloggers, and data engineers?

Data 268
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Introducing Intercom’s European data hosting

Intercom, Inc.

Technology makes every company a global company, and our focus on data security means Intercom customers all over the world can experience the full benefit of Intercom – no matter where they’re geographically located. .

Data 155
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Best Data Loss Prevention Software

The Daily Egg

Are you safeguarding data? Does your company have data loss prevention software? The post Best Data Loss Prevention Software appeared first on The Daily Egg. What do you do to take care of your health? Perhaps you drink lots of water, exercise regularly, and avoid McDonald’s.

Data 249
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Intent Signal Data 101

Intent signal data helps B2B marketers engage with buyers sooner in the sales cycle. But there are many confusing terms used to describe intent data. Read this infographic to better understand three common areas of confusion.

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Best Data Analysis Software

The Daily Egg

The post Best Data Analysis Software appeared first on The Daily Egg. Have you heard of Michael Burry? He’s a hedge fund manager who had foreseen the shocking 2007-2008 housing collapse.

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Why You Should be Doing Data-Driven Sales Management

Predictable Revenue

Peter Kazanjy joins the Predictable Revenue podcast to discuss why you should be using data to drive your decisions as a sales development manager. The post Why You Should be Doing Data-Driven Sales Management appeared first on Predictable Revenue.

Revenue 213
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Collect’s founder Alex Delivet on automating data collection

Intercom, Inc.

In today’s episode, we welcomed Alex into our offices to chat about his love for SaaS, the challenges of starting a business, and the future of data collection. A better way to collect customer data. So we are mostly collecting documents and data from our clients.

Data 113
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Data Health Matters

Trujay

Studies suggest that over 30% of the records in your CRM right now have data health issues. Over time, bad data slowly decays and […]. The post Data Health Matters appeared first on Trujay: Migration & Integration Solutions.

Data 73
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Unlocking the Right Data for Growth

Predictable Revenue

Jennifer Aplin and Alice Chandrasekaran, have combined their experience to build the Growth Data™ platform and help companies use data to accelerate growth and productivity. The post Unlocking the Right Data for Growth appeared first on Predictable Revenue.

Revenue 206
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Contact vs. Company Intent Signal Data

Intent signal data comes in two types: either companies or individuals signaling interest in products like yours. Which kind of data delivers more advantages to B2B marketers? It depends. Get this infographic to learn about the advantages of intent-based leads and how you can most effectively use both types of data.

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Five data analytics trends to look out for in 2023

SaaS Metrics

Today, data in the corporate and digital sectors is indispensable. Data technologies are on the rise to analyze the growing chunk of data to gain insights that help corporations make strategic decisions. General Data Analytics

Metrics 52
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Built for you: Improved Surveys, enriched push notifications, Australian data hosting, and more

Intercom, Inc.

Last month we turned our attention to data – unleashing new features that help you improve how you collect, access, and use first-party data to influence your product and scale your business. New data localization with Australian Data Hosting.

Data 166
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Fighting Churn with Data with Zuora’s Chief Data Scientist

SaaStr

This is where data comes in, and we asked the expert, Carl Gold, Chief Data Scientist @ Zuora , to help us fight churn with data. ?. You need detailed usage data. With data about when people leave. How Some People Have Defeated Churn with Data.

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6 Tips for Effective Data Sharing Using Baremetrics

Baremetrics

Data plays a key role in maximizing growth in your SaaS company. And when I say “data is key”, I mean only the data that is readily available and accessible to the people who need it. A lot of information goes unmeasured and unnoticed, and a lot of data isn’t put to good use.

Data 54
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Data Science Fails: Building AI You Can Trust

The new DataRobot whitepaper, Data Science Fails: Building AI You Can Trust, outlines eight important lessons that organizations must understand to follow best data science practices and ensure that AI is being implemented successfully.

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Data Health: Time for a Checkup?

Trujay

Data health is one of the essential tools in your arsenal as a business decision-maker. Without data, you’re running blind, guessing audience preferences, market demographics, engagement, and more. But unhealthy data might be just as bad as having no data at all.

Data 81
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What Is Streaming Data All About?

SaaS Metrics

quintillion bytes of data are created each day. And because of this vast amount of data, modern software and technological innovations are needed to quickly process, analyze, and act on this data. Streaming data. The post What Is Streaming Data All About?

Metrics 52
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Four Types of Data Transformation

SaaS Metrics

Data transformation is the process of cleaning data in order to allow for more expansive analysis and to streamline decision making at the executive level. Initially, when the data is extracted from a source, it’s not necessarily in a format analysts can use.

Data 56
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Business Intelligence and Data Analysis: How to Use Data Analytics

SaaS Metrics

The biggest trend in business today is data analytics. Businesses big and small are using their customer and supply data to make informed decisions that have helped them reap huge rewards from the marketplace. How do businesses use data analytics and what do they do to get started?

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ABCs of Data Normalization for B2B Marketers

Data normalization. It’s not a far stretch to suggest that the topic isn’t exactly what gets marketers excited in their day-to-day workflow. However, if lead generation, reporting, and measuring ROI is important to your marketing team, then data normalization matters - a lot. In this eBook, we’ll break down the ins and outs of data normalization and review why it’s so critical for your marketing strategies and goals!

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Data50: The World’s Top Data Startups

Andreessen Horowitz

Over a decade after the idea of “big data” was first born, data continues to be one of the most important and furiously growing innovation drivers across both large enterprises and new startups. The post Data50: The World’s Top Data Startups appeared first on Future.

Data 114
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a16z Podcast: The Great Data Debate

Andreessen Horowitz

everything else… As the technical capabilities of data lakes and data warehouses converge, are the separate tools and teams that run AI/ML and analytics converging as well? Lakes v. warehouses, analytics v. AI/ML, SQL v.

Data 113
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How Intercom’s Data Infrastructure team met growing demand with solid principles

Intercom, Inc.

That’s where we found our Data Infrastructure team at the end of 2020 – we provide data and tools for teams across Intercom to get insights and run crucial processes, and were more in-demand than ever. The Data Infrastructure team had reached a tipping point.

Data 121
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Benn Stancil, founder of Mode, on how data science can help us make better decisions

Intercom, Inc.

The fact of the matter is that data science, as a field, is still relatively new. But as Benn points out, the future of data analysis isn’t an architecture diagram or business leaders looking at dashboards – it’s building an experience, and a very exciting one at that.

Data 135
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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.

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How to Make Data-Driven Pricing Decisions

Chargebee

Learn how to make suitable pricing decisions, factors to consider, and several data-driven pricing strategies for your subscription business

Pricing 83
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Building high-performing Research and Data Science teams with clear career paths

Intercom, Inc.

Research and data science play a major role in surfacing holistic insights about our customers and ensuring we’re building products that drive real value. We prioritize mastery and communication above all, and we expect our researchers, data scientists, and managers to have opinions”.

Data 113
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The Importance of Data Hygiene in Sales Orgs

Predictable Revenue

Pouyan Salehi joined the Predictable Revenue podcast to discuss the importance of data hygiene in B2B sales and how we can make better use of our data. The post The Importance of Data Hygiene in Sales Orgs appeared first on Predictable Revenue.

Revenue 141
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Emerging Architectures for Modern Data Infrastructure

Andreessen Horowitz

We’re now starting to see the rise of massive, complex systems built around data – where the primary business value of the system comes from the analysis … The post Emerging Architectures for Modern Data Infrastructure appeared first on Andreessen Horowitz.

Data 114
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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.

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Data Engineer

TreehouseTechGroup

Treehouse Technology Group is strategy and data firm providing custom, end-to-end solutions for our enterprise and SMB clients. Our approach is an independent, vendor-agnostic cloud solution designed to deliver and execute our client’s strategy to unlock the power of data and its storytelling potential. As a Database Engineer, you will work with stakeholders and the… The post Data Engineer appeared first on Treehouse Tech Group.

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Data Operationalization for Beginners: How to be a Great Data Team Member

SaaS Metrics

The world of data engineering is one that has a lot of promise and is a great career choice. Commerce and business are relying more and more on data and the demand for engineers and data scientists are growing at a steady pace. General Data Team Member

Metrics 56
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Data Alone Is Not Enough: The Evolution of Data Architectures

Andreessen Horowitz

AI, machine & deep learning enterprise & SaaS hallway conversations on the economics of AI/ML & data businesses

Data 95
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Salesforce Data Migration: Tips & Tricks For Success

Trujay

And while data migration is standard operating procedure these days, it’s also one full of misconceptions: What if I lose my data? How will I ensure the data stays secure? Making a move to a Salesforce CRM can be daunting.

Data 71
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Data-Driven Marketing 101

This eBook highlights how data-driven strategies empower marketing campaigns through personalization tactics.

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Eliminating Data Downtime with Data Observability - Why We Partnered with Monte Carlo Data

Tomasz Tunguz

At Redpoint, we believe 2020 is the decade of data. We’ve partnered in the leaders of the next generation of data from the earliest stages; companies like Snowflake, Looker, and Dremio. Monte Carlo solves these problems with their Data Observability platform.

Data 106
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Data Management Software: Features and Benefits

SaaS Metrics

Today, many enterprises are struggling to manage their data. Data is a valuable source of critical information that helps a business maintain its competitive edge and customer satisfaction. This is where data management software. Blog Data Management Software

Metrics 52
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What is the Difference Between Data Enrichment and Data Enhancement?

SaaS Metrics

In today’s business world, there are many areas where data plays a vital role. Most businesses have entire departments or employees devoted to collecting, analyzing, and integrating data. The post What is the Difference Between Data Enrichment and Data Enhancement?

Data 52
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Options for Data Movement Between Salesforce Orgs

CloudKettle

There are many scenarios where data may need to move between two Salesforce orgs, and similarly, there are several options available when it comes to syncing data between Salesforce orgs. The post Options for Data Movement Between Salesforce Orgs appeared first on CloudKettle.

Data 56
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The 2019 Technographic Data Report for B2B Sales Organizations

In this report, ZoomInfo substantiates the assertion that technographic data is a vital resource for sales teams. In fact, the majority of respondents agree—with 72.3% reporting that technographic data is either somewhat important or very important to their organization. The reason for this is simple—sales teams value technographic data because it makes essential selling activities easier and more efficient.