April, 2020

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Utilize The Potential Of Digital Dashboards In A Business Environment

datapine

“Without big data analytics, companies are blind and deaf, wandering out onto the web like deer on a freeway.” – Geoffrey Moore. We live in the age of information. And, as a business, if you use your data wisely, you stand to reap great rewards. Data brings a wealth of invaluable insights that could significantly boost the growth and evolution of your business.

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10+ Simple Yet Powerful Excel Tricks for Data Analysis

Analytics Vidhya

Overview Microsoft Excel is one of the most widely used tools for data analysis Learn the essential Excel functions used to analyze data for. The post 10+ Simple Yet Powerful Excel Tricks for Data Analysis appeared first on Analytics Vidhya.

Analytics 391
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Video: Why Businesses Struggle with Data Quality

Corinium

Matthew Bernath, Head of Data Analytics at Rand Merchant Bank, discusses why ensuring data is high quality remains a key challenge for businesses today with Corinium's Craig Steward.

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You Can’t Plan on AI and ML

David Menninger's Analyst Perspectives

Artificial intelligence (AI) and machine learning (ML) are all the rage right now. Our Machine Learning Dynamic Insights research shows that organizations are using these techniques to achieve a competitive advantage and improve both customer experiences and their bottom line. One type of analysis an organization can perform using AI and ML is predictive analytics.

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State of AI in Sales & Marketing 2025

AI adoption is reshaping sales and marketing. But is it delivering real results? We surveyed 1,000+ GTM professionals to find out. The data is clear: AI users report 47% higher productivity and an average of 12 hours saved per week. But leaders say mainstream AI tools still fall short on accuracy and business impact. Download the full report today to see how AI is being used — and where go-to-market professionals think there are gaps and opportunities.

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An Introduction to Key Data Science Concepts

Dataiku

Here at Dataiku, we frequently stress the importance of collaboration in building a successful data team. In short, successful data science and analytics are just as much about creativity as they are about crunching numbers, and creativity flourishes in a collaborative environment.

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4 Key Competitive Advantages of Big Data in Business

Smart Data Collective

90% of all data in the world has been generated in the last two years. With that in mind, it’s not surprising that a lot of companies are struggling with structuring and making sense of the data that they have, which causes various organizational issues, as well as limits the potential growth. That’s why big data companies that can help use that data are in such high demand.

Big Data 145

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7 Python Hacks, Tips and Tricks for Data Science Projects

Analytics Vidhya

Overview Python is a superb language for data science but not everyone is a Python expert Here, we present 7 Python hacks that’ll help. The post 7 Python Hacks, Tips and Tricks for Data Science Projects appeared first on Analytics Vidhya.

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Data Conversations Over Coffee with Matthew Bernath

Corinium

Data & Coffee - Two Things That Demand The Highest Quality.

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Which Technology Should I Learn?

DataCamp

Discover whether you should learn a data science and analytics language, such as Python or R; SQL; spreadsheets; or a business intelligence tool.

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The Best Time to Get An Enterprise Architecture Tool

erwin

Many organizations start an enterprise architecture practice without a specialized enterprise architecture tool. Instead, they rely on a blend of spreadsheets, Visio diagrams, PowerPoint files and the like. Under normal circumstances, this approach is difficult. In times of rapid change or crisis, it isn’t viable. Four Compelling Reasons for An Enterprise Architecture Tool.

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How to Achieve High-Accuracy Results When Using LLMs

Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage

When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m

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How Will The Cloud Impact Data Warehousing Technologies?

Smart Data Collective

sThe recent years have seen a tremendous surge in data generation levels , characterized by the dramatic digital transformation occurring in myriad enterprises across the industrial landscape. The amount of data being generated globally is increasing at rapid rates. In fact, studies by the Gigabit Magazine depict that the amount of data generated in 2020 will be over 25 times greater than it was 10 years ago.

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Create Modern SQL Dashboards With Professional Tools & Software

datapine

Companies need to collect, store, monitor, and analyze massive volumes of data in order to manage business performance and successfully deliver profitable results. No matter if your company is small or large, there is a great chance that you’ve been using SQL as the tool to-go when it comes to managing and extracting value from your database. There is still lots of relational database management included when it comes to online data analysis and different possibilities to perform the same.

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A Comprehensive Guide to 21 Popular Deep Learning Interview Questions and Answers

Analytics Vidhya

Overview Looking to crack your next deep learning interview? You’ve come to the right place! We have put together a list of popular deep. The post A Comprehensive Guide to 21 Popular Deep Learning Interview Questions and Answers appeared first on Analytics Vidhya.

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Corinium Meets: Digio CDO and Data Protection Officer Rafael Coronel

Corinium

Dr Rafael Coronel, CDO and Data Protection Officer at financial services platform Digio, talks to us about steering the company through the Covid-19 pandemic, CX innovation and the future of digital banking. What role does data and analytics play in Digio’s broader business strategy? What makes your approach different to that of more traditional banks?

Strategy 221
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Zero Trust Mandate: The Realities, Requirements and Roadmap

The DHS compliance audit clock is ticking on Zero Trust. Government agencies can no longer ignore or delay their Zero Trust initiatives. During this virtual panel discussion—featuring Kelly Fuller Gordon, Founder and CEO of RisX, Chris Wild, Zero Trust subject matter expert at Zermount, Inc., and Principal of Cybersecurity Practice at Eliassen Group, Trey Gannon—you’ll gain a detailed understanding of the Federal Zero Trust mandate, its requirements, milestones, and deadlines.

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Uncovering Trends in Data Governance

David Menninger's Analyst Perspectives

Effectively managing data privacy and security is a high-stakes matter. When an organization doesn’t get it right, it often becomes front-page news and occasionally becomes a subject of litigation. Yet organizations face an equally challenging imperative to ensure that business users have easy access to the data they need. Depending on how they are implemented, data governance policies can inhibit access to data, making it harder to find and utilize the data assets of an organization.

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Data Governance for Smart Data Distancing

erwin

Hello from my home office! I hope you and your family are staying safe, practicing social distancing, and of course, washing your hands. These are indeed strange days. During this coronavirus emergency, we are all being deluged by data from politicians, government agencies, news outlets, social media and websites, including valid facts but also opinions and rumors.

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5 Artificial Intelligence Trends Changing The eCommerce Industry

Smart Data Collective

Artificial Intelligence (AI) is changing the way that eCommerce companies do business. AI is being implemented in systems across the eCommerce sector. From generating leads to gathering information, AI has improved multiple facets of the industry. Algorithmic bots have revolutionized customer facing services. Automated systems are the driving force behind improvements in back-end eCommerce software. eCommerce AI is a data-driven trend that allows companies to manage and analyze consumer informat

Sales 144
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Call Center Dashboard – Reporting & Analytics In Our Data-driven World

datapine

Customer service shouldn’t just be a department, it should be the entire company.” – Tony Hsieh, CEO of Zappos. Consumers are more empowered than ever before. With access to an ever-growing number of digital touchpoints for connecting with peers, conducting research, and making all-important buying decisions, it’s up to today’s businesses to provide a level of service that is outstanding across the board.

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Revolutionize QA: GAPs AI-Driven Accelerators for Smarter, Faster Testing

GAP's AI-Driven QA Accelerators revolutionize software testing by automating repetitive tasks and enhancing test coverage. From generating test cases and Cypress code to AI-powered code reviews and detailed defect reports, our platform streamlines QA processes, saving time and resources. Accelerate API testing with Pytest-based cases and boost accuracy while reducing human error.

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Everything you Should Know about Confusion Matrix for Machine Learning

Analytics Vidhya

Confusion Matrix – Not So Confusing! Have you been in a situation where you expected your machine learning model to perform really well but. The post Everything you Should Know about Confusion Matrix for Machine Learning appeared first on Analytics Vidhya.

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Covid-19 Has Already Changed CX Forever

Corinium

With businesses scrambling to adapt to the realities of social distancing, we ask our network of CX leaders how they’re striving to meet their customers’ needs in the midst of the global pandemic. Companies have been forced to take decisive action to meet the needs of their customers as Covid-19 continues to upend business models and disrupt daily life across the globe.

Modeling 221
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Using Small Datasets to Build Models

DataRobot

The world is going through extremely turbulent times. With the ongoing disruption of our lives, communities, and businesses from the COVID-19 pandemic, predictions from existing machine learning models trained prior to the pandemic become less reliable. There is plenty of historical data, but historical examples from before the pandemic may not provide the relevant examples needed to train a model that is useful today.

Modeling 124
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Data Intelligence for Disaster Planning and Business Continuity in the Face COVID-19 or Other Crises

erwin

COVID-19 has presented businesses with a new and immediate set of challenges that reinforce the need for data intelligence to inform disaster planning and business continuity. The coronavirus epidemic and its impacts are sharp and severe. And while its duration is uncertain, it is likely to permanently change the way businesses and societies function.

Metadata 132
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Optimizing The Modern Developer Experience with Coder

Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

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The Growing Importance Of Data Collection For Customer Service

Smart Data Collective

Big data is crucial for any organization that wants to attract and retain customers. A study by McKinsey Global Institute found that data-driven companies are 400% more likely to retain customers and 2,200% more likely to acquire new ones. Back in 2011, my colleagues and I first started discussing the evolving standards of customer service in business.

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Your Definitive Guide To KPI Tracking By Utilizing Modern Software & Tools

datapine

In the modern age, brands and businesses that benchmark their activities stand to gain an all-important edge on the competition. Whatever your niche or industry, working with dynamic key performance indicators (KPIs) will empower you to track and improve your performance in a number of key areas, accelerating your commercial success in the process. Without data, you will only ever be ‘shooting in the dark’ when it comes to formulating strategies and making informed decisions.

KPI 195
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5 Amazing Google Colab Hacks You Should Try Today!

Analytics Vidhya

Introduction Google Colab is an amazing gift to the data science community from the fine folks at Google. Colab gives us the ability to. The post 5 Amazing Google Colab Hacks You Should Try Today! appeared first on Analytics Vidhya.

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Creating an AI-Ready Data Architecture in the Cloud

Corinium

Sophisticated ML-as-a-service platforms such as Facebook’s FBLearner Flow are ideal for delivering AI-at-scale. But the data architectures that feed into them are just as vital. Automation is what AI algorithms do best. So, it should be no surprise that the world’s most advanced AI-using enterprises are using the technology to automate the process of experimenting with and scaling AI itself.

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15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

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When Time Really Matters: One Physician's Journey to Leveraging Data Science for Better Outcomes

Dataiku

While medicine and treatment options for patients are constantly evolving and improving, the healthcare field as a whole grapples with seamlessly incorporating data science, machine learning, and AI into their workflows. By making AI accessible to a wider audience and equipping medical professionals with the technology and processes that ensure AI efforts are collaborative, transparent, and explainable, there is significant potential to decrease costs and improve patient outcomes.

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What Is an Enterprise Architecture Roadmap?

erwin

Having an enterprise architecture roadmap is essential in modern business. Without it, understanding the current and desired future state can be difficult. An enterprise architecture roadmap does not have to be in contrast with efforts to promote an agile enterprise architecture. The focus of innovation and agile EA is to increase the agility of the business for digital transformation.

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5 Ways Big Data Is Being Used To Understand COVID-19

Smart Data Collective

Big data can be a tool, a weapon or a currency. Now, amid the COVID-19 pandemic, big data has become a life-saving ally for the health care community. This moment in history is unlike any other — and the value of data in ending it resembles nothing we’ve yet seen. The following is just a sample of the many ways big data and machine learning are flattening the coronavirus curve, as well as study the disease, mount a sensible public response and reopen our communities, economies and countrie

Big Data 140
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Breaking the COVID-19 Chain with Data Analytics

Teradata

How can Teradata's data analytics platform help communities stop the spread of COVID-19? Find out more.

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The GTM Intelligence Era: ZoomInfo 2025 Customer Impact Report

ZoomInfo customers aren’t just selling — they’re winning. Revenue teams using our Go-To-Market Intelligence platform grew pipeline by 32%, increased deal sizes by 40%, and booked 55% more meetings. Download this report to see what 11,000+ customers say about our Go-To-Market Intelligence platform and how it impacts their bottom line. The data speaks for itself!