Sat.Mar 27, 2021 - Fri.Apr 02, 2021

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Drill-through from Power BI to Paginated Report – Report Recipe #4

Paul Turley

Navigation between reports is the hallmark of an interactive reporting solution, enabling the ability to drill-through and see relevant details and contextual filtered information in a target report.

Reporting 145
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Is Gradient Descent sufficient for Neural Network?

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction An important factor that is the basis of any. The post Is Gradient Descent sufficient for Neural Network? appeared first on Analytics Vidhya.

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The Value Index for Analytics and Data Classifies and Rates Vendors

David Menninger's Analyst Perspectives

I am happy to share insights gleaned from our latest Value Index research, an assessment of how well vendors’ offerings meet buyers’ requirements. The Ventana Research Value Index: Analytics and Data 2021 is the distillation of a year of market and product research by Ventana Research. Drawing on our Benchmark Research, we apply a structured methodology built on evaluation categories that reflect the real-world criteria incorporated in a request for proposal to analytics and data vendors support

Analytics 184
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How to Develop & Deliver Better Analytics

DataKitchen

Deep in Data host Robert Lacok interviews DataKitchen CEO Chris Bergh about what companies get wrong when building a data culture, DataOps success stories, and building a data product. The post How to Develop & Deliver Better Analytics first appeared on DataKitchen.

Analytics 130
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From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.

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What Mature Data Infrastructure Looks Like

DataCamp

Unlocking the value of data in an organization starts with having the right data infrastructure and tooling foundations. Here’s a look at the current state and future trends of data infrastructure.

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7 Proven Steps to Impress the Recruiter with Your Machine Learning Projects

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction After arming yourself up with all the relevant industry. The post 7 Proven Steps to Impress the Recruiter with Your Machine Learning Projects appeared first on Analytics Vidhya.

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DataOps Is Not Just DevOps for Data

DataKitchen

Building the Backend host Travis Lawrence interviews DataKitchen CEO Chris Bergh on three value bombs: (1) DataOps is not just DevOps for data; (2) Architect for change; & (3) CDOs should be on the offense. The post DataOps Is Not Just DevOps for Data first appeared on DataKitchen.

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Azure Cloud Is Transforming the Way We Run Our Businesses in 2021

Smart Data Collective

Utilizing cloud services is no longer an option for businesses— it is a necessity. In 2021, cloud computing infrastructure will dominate the IT space and take over business cloud services. However, it is important to understand the right cloud computing practices to follow. The growth experienced by Microsoft Azure is tremendous compared to other providers of cloud services— a whopping 154% YOY growth rate to be specific.

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A Complete Beginner’s Guide to Data Visualization

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. What is data visualization? “A picture speaks a thousand words.” The post A Complete Beginner’s Guide to Data Visualization appeared first on Analytics Vidhya.

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Keys to Data Fluency: Less Data, More Insights

Juice Analytics

The most common mistake in ineffective data products is an inability to make difficult decisions about what information is most important. Amanda Cox of The New York Times graphics department summed up this problem perfectly: “Data isn’t like your kids—you don’t have to pretend to love them equally.” — Amanda Cox, New York Times Design Group. Photo: Unsplash - Etienne Girardet.

Metrics 133
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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

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A Career & Passion for DataOps

DataKitchen

Customer Insights Leader podcast host Paul Laughlin interviews DataKitchen CEO Chris Bergh about his career & passion for DataOps, how DataOps teams can measure success, & skills analysts should develop to succeed with DataOps. The post A Career & Passion for DataOps first appeared on DataKitchen.

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Big Data Trends That Are Disrupting Management Maintenance

Smart Data Collective

Big data is leading to some major breakthroughs in the modern workplace. One study from NewVantage found that 97% of respondents said that their company was investing heavily in big data and AI. Maintenance management’s primary focus has always been maximizing the quality, effectiveness, and quality of equipment in an organization. And this is usually at the lowest possible costs in terms of material and machinery.

Big Data 136
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Statistics for Data Science

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. It is the mark of truly intelligent person to be. The post Statistics for Data Science appeared first on Analytics Vidhya.

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The Data Fluency Framework

Juice Analytics

Data alone isn’t valuable—it’s costly. Gathering, storing, and managing data all costs money. Data only becomes valuable when you start to get insights from it and apply those insights to actions. But how do you empower your organization to do that? The answer is not simply a better dashboard or more carefully designed data visualizations. These are helpful, but small pieces.

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How to Build an Experimentation Culture for Data-Driven Product Development

Speaker: Margaret-Ann Seger, Head of Product, Statsig

Experimentation is often seen as an aspirational practice, especially at smaller, fast-moving companies who are strapped for time and resources. So, how can you get your team making decisions in a more data-driven way while continuing to remain lean and maintaining ship velocity? In this webinar, Margaret-Ann Seger, Head of Product at Statsig, will teach you how to build an experimentation culture from the ground-up, graduating from just getting started with data-driven development to operating

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How to Implement Data Lineage Mapping Techniques

Octopai

Ever reflect on what it would be like to be a piece of data that enters your BI system? Honey, I’m home! Now I’ll just sit down on my recliner and… hey! Where are you taking me? What? You’re changing my name, but “don’t-worry-I’ll-always-be-the-same”? What does that mean? Okay, well, let me just sit down here and… where are we going now? Why do I have to put on sunglasses and a fake mustache?

Metadata 130
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How the Open Edge Is Driving Digital Transformation

DataKitchen

The post How the Open Edge Is Driving Digital Transformation first appeared on DataKitchen.

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Pandas Functions for Data Analysis and Manipulation

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction Pandas is an open-source python library that is used. The post Pandas Functions for Data Analysis and Manipulation appeared first on Analytics Vidhya.

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Are You Getting The Most Out Of Your Marketing Data?

Smart Data Collective

These are unprecedented times for the analytics industry. Thanks to new tools, including real-time tracking capabilities, businesses had access to more information about their marketing campaigns than ever before. That’s good news, right? Well, it should be, but having access to more marketing data is only actually good news when businesses understand what to do with it.

Marketing 121
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Entity Resolution Checklist: What to Consider When Evaluating Options

Are you trying to decide which entity resolution capabilities you need? It can be confusing to determine which features are most important for your project. And sometimes key features are overlooked. Get the Entity Resolution Evaluation Checklist to make sure you’ve thought of everything to make your project a success! The list was created by Senzing’s team of leading entity resolution experts, based on their real-world experience.

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Using Data Privacy to Introduce AI Regulation: The Canadian Bet

Dataiku

As with all other key aspects of the economy, the global health crisis we are going through is having a deep impact on AI developments in organizations. In an environment compatible with remote work, COVID-19 acts as a catalyst for reinforced data usage: many companies need to develop a strong data-supported understanding of the new normal — and react accordingly.

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Improving Collaboration with a DataOps Platform

DataKitchen

The post Improving Collaboration with a DataOps Platform first appeared on DataKitchen.

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Classifying DDoS attacks with Artificial Intelligence

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction The majority of corporates or services rely highly upon. The post Classifying DDoS attacks with Artificial Intelligence appeared first on Analytics Vidhya.

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3 Essential Tips to Protect Your Business Data from a Data Breach

Smart Data Collective

Data security has become more important than ever. As a business owner, you can’t afford to overlook the importance of a sound data security strategy. Data Security Strategies that Your Business Should Follow in 2021. Running a business is more than just making sales and calculating finances. You also need to be on top of security. A data breach, as an example, could have a devastating impact on your company, including the trust that clients have for you.

Finance 111
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Driving Business Impact for PMs

Speaker: Jon Harmer, Product Manager for Google Cloud

Move from feature factory to customer outcomes and drive impact in your business! This session will provide you with a comprehensive set of tools to help you develop impactful products by shifting from output-based thinking to outcome-based thinking. You will deepen your understanding of your customers and their needs as well as identifying and de-risking the different kinds of hypotheses built into your roadmap.

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How Data Governance Protects Sensitive Data

erwin

Organizations are managing more data than ever. In fact, the global datasphere is projected to reach 175 zettabytes by 2025, according to IDC. With more companies increasingly migrating their data to the cloud to ensure availability and scalability, the risks associated with data management and protection also are growing. How can companies protect their enterprise data assets, while also ensuring their availability to stewards and consumers while minimizing costs and meeting data privacy requir

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An Introduction to DataOps

DataKitchen

DATA MASTERS hosts Mark Marinelli & Nate Nelson interview DataKitchen CEO Chris Bergh. The post An Introduction to DataOps first appeared on DataKitchen.

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Code Re-usability through feature pipeline framework

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction In any data science, project feature creation is a. The post Code Re-usability through feature pipeline framework appeared first on Analytics Vidhya.

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5 Reasons Why Big Data Is Essential for Successful Marketing

Smart Data Collective

You do not stand a chance in this digital age if you operate your marketing campaign through traditional platforms. If you still roll out mass and untargeted marketing material, you will certainly not be effective. The technological advancements have left no excuse for brands to justify the lack of customer data collection. This data, in return, enables them to carve out specialized marketing campaigns targeting the right audience.

Big Data 107
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Reimagined: Building Products with Generative AI

“Reimagined: Building Products with Generative AI” is an extensive guide for integrating generative AI into product strategy and careers featuring over 150 real-world examples, 30 case studies, and 20+ frameworks, and endorsed by over 20 leading AI and product executives, inventors, entrepreneurs, and researchers.

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Building Tax Planning into Enterprise Risk Management Strategies

Jet Global

Tax planning is playing an increasingly important part in corporates’ enterprise resource management (ERM) strategies, driven by the many uncertainties created by political, economic, and pandemic-related trends. There are also ongoing changes within the international tax environment, including Pillar 1 and Pillar 2 of the OECD’s delayed Base Erosion and Profit Shifting (BEPS) 2.0 – initiative, and reporting associated with the potential impact of new tax laws based on changes in government lead

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The Year After: BRIDGEi2i’s Take on The Year Ahead

bridgei2i

As we step into 2021, enterprises and customers alike look to embrace normalcy while charting new paths to cope with the disruption brought about by the pandemic. Digital transformation programs and initiatives have enabled enterprises to navigate the new normal. Today most organizations are accelerating their adoption of AI and automation to reimagine their business processes.

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The Nature of Object-Oriented Programming in Python

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction Classes are one of the most thought-out concepts in. The post The Nature of Object-Oriented Programming in Python appeared first on Analytics Vidhya.

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New Cloud Inventory Services Address U.S. Supply Chain Vulnerabilities

Smart Data Collective

The COVID-19 virus pandemic has caused unprecedented disruption to supply chains across industries, highlighting the problems that arise from a lack of inventory visibility and control, as well as the importance of utilizing an agile inventory management approach equipped to meet unexpected challenges. Fortunately, major advances in big data have helped solve many of them, such as helping brands understand customer trends with data analytics.

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Strategic CX: A Deep Dive into Voice of the Customer Insights for Clarity

Speaker: Nicholas Zeisler, CX Strategist & Fractional CXO

The first step in a successful Customer Experience endeavor (or for that matter, any business proposition) is to find out what’s wrong. If you can’t identify it, you can’t fix it! 💡 That’s where the Voice of the Customer (VoC) comes in. Today, far too many brands do VoC simply because that’s what they think they’re supposed to do; that’s what all their competitors do.