Sat.Jun 19, 2021 - Fri.Jun 25, 2021

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Standing Up a DataOps Program for Practitioners

DataKitchen

In this five-module course, Mike Lampa & Chris Bergh teach data professionals to plan their organization's DataOps program for low errors & fast deployment. The post Standing Up a DataOps Program for Practitioners first appeared on DataKitchen.

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Exploring Mito: Automatic Python Code for SpreadSheet Operations

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Spreadsheets or Excel is the foremost and most adaptive way. The post Exploring Mito: Automatic Python Code for SpreadSheet Operations appeared first on Analytics Vidhya.

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Zendesk The Digital Tipping Point

Corinium

In 2020, companies made seismic shifts in how they do business. Being digital-first and, in many cases, digital-only meant companies had to rapidly acquire new technologies to reach customers and connect remote teams. 98% of mid-to-large-sized companies implemented new tools or processes. Investing in your customers pays off, but what to prioritize can be a little tricky.

Reporting 195
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Teradata Expands Vantage Enterprise Data Platform

David Menninger's Analyst Perspectives

Teradata introduced some enhancements to its Vantage platform last year in which they expanded its analytics functions and language support, and strengthened tools to improve collaboration between data scientists, business analysts, data engineers and business personnel. Some of the key enhancements included expanding the native support for R and Python, extending the ability to execute a wide range of open-source analytics algorithms, and automatic generation of SQL from R and Python code.

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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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The Role of DataOps in Data Modernization

DataKitchen

Cognizant's JP Thakur & DataKitchen's Chris Bergh discuss how DataOps sets the foundation for Data Modernization initiatives enabling continuous data & insight. The post The Role of DataOps in Data Modernization first appeared on DataKitchen.

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Building a Convolutional Neural Network Using TensorFlow – Keras

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction This article aims to explain Convolutional Neural Network and how. The post Building a Convolutional Neural Network Using TensorFlow – Keras appeared first on Analytics Vidhya.

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SAP Excels in Value Index for Analytics with its Customer Experience

David Menninger's Analyst Perspectives

We are happy to share some insights about SAP drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements.

Analytics 139
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15 power tips for Microsoft Power BI

CIO Business Intelligence

Power BI is Microsoft’s interactive data visualization and analytics tool for business intelligence (BI). With Power BI, you can pull in data from a wide range of systems in the cloud and on premises and create dashboards that track the metrics you care about the most. You can even drill down into your data and (literally) ask questions about it. Power BI’s rich reports or dashboards can be embedded in reporting portals you already use.

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Running Pandas on GPU, Taking It To The Moon??

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Pandas library comes in handy while performing data-related operations. Everyone starting. The post Running Pandas on GPU, Taking It To The Moon?? appeared first on Analytics Vidhya.

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Financial Technology Frontiers

Jet Global

A software company is revolutionizing financial operations through solutions that mine ERP data to provide astounding efficiency. First, there was the general ledger book. Then came Microsoft Excel and enterprise resource planning (ERP) applications. Revolutionary as these tools have been in the world of finance, there’s room for improvement. Enter insightsoftware, a leading provider of financial reporting and enterprise performance management software.

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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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How to Optimize Marketing and Sales Operations

Jedox

In the age of digitization, the value creation processes of companies are experiencing fundamental changes. This also affects the go-to-market processes in particular for the marketing and sales functions. In this blog, we discuss these changes and their implications for successful operations. For at least two decades now, the Internet has enabled customers to be increasingly better informed, and the next supplier somewhere in the world is just a click away.

Sales 94
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What Data Metrics Should Be Incorporated Into a Marketing Dashboard?

Smart Data Collective

Big data has been incredibly important in the marketing profession. Marketers need to rely heavily on big data technology to reach customers more effectively. Big data technology isn’t just important for making better insights. Those insights need to be presented in a format that is easy to conceptualize. Visual marketing dashboards are prime examples of using big data effectively in marketing.

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How to Load Kaggle Datasets Directly into Google Colab?

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Almost every data science aspirant uses Kaggle. It houses datasets. The post How to Load Kaggle Datasets Directly into Google Colab? appeared first on Analytics Vidhya.

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Tips for Using Photos in Data Storytelling

Juice Analytics

Data storytelling needs more than a collection of data visualizations. It is about weaving an engaging message that combines data exploration with narrative, descriptions, and graphics. Photographs, in particular, can play a vital role to help your data story grab attention and provide emotional engagement. Photos have always beene an important element that we integrate into our data storytelling designs.

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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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Transforming the Future of Learning with Analytics

Sisense

Blog. The proliferation of information, data, technology, and digital platforms means that the ability to leverage learning and education solutions has evolved dramatically in recent years. Organizations are now turning to digital innovations such as AI-infused analytics platforms to enhance and grow the knowledge of their teams and talent. A recent study by Learning Pool revealed 76% of mature metrics practices are enabled by technology that integrates data from multiple sources.

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How to Protect Your Small Business from Cyberattacks with Data Analytics

Smart Data Collective

Data analytics has dramatically upended our lives. Most of the changes have been largely positive. One of the biggest implications of data analytics technology in the 21st Century is that it has led to a number of new cybersecurity solutions. There is actually an entire field known as cybersecurity analytics , which as its name implies, uses data analytics technology to create more robust cybersecurity solutions.

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How to Build a Data Warehouse Using PostgreSQL in Python?

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Data warehouse generalizes and mingles data in multidimensional space. The. The post How to Build a Data Warehouse Using PostgreSQL in Python? appeared first on Analytics Vidhya.

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Why Data Culture Matters

DataCamp

This blog post summarizes how and why data culture is a variable in any successful analytics endeavor, the meaning of data culture, and how it is an extension of organizational habits.

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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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Migrate Hive data from CDH to CDP public cloud

Cloudera

Introduction. Many Cloudera customers are making the transition from being completely on-prem to cloud by either backing up their data in the cloud, or running multi-functional analytics on CDP Public cloud in AWS or Azure. The Replication Manager service facilitates both disaster recovery and data migration across different environments. Using easy-to-define policies, Replication Manager solves one of the biggest barriers for the customers in their cloud adoption journey by allowing them to mov

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6 Ways Augmented Reality Is Changing These 6 Industries

Smart Data Collective

Technology is moving at such a fast rate that everyone—including the business sector—is trying to keep up. There’s no doubt in how technology has improved almost all business processes, and one development that’s taking off is augmented reality. Augmented reality (AR) uses real-time computer-generated images in the surroundings of the viewer. So as a user, you can perceive the augmented objects which are a part of the real world to give you an interactive and enhanced experience of the visible w

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Plotly and cufflinks : Advanced Python Data Visualization Libraries

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Data Visualization helps to bridge the gap between numbers and. The post Plotly and cufflinks : Advanced Python Data Visualization Libraries appeared first on Analytics Vidhya.

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The Second Pillar of Data Culture: Data Literacy

Alation

Of the three pillars of data culture, data literacy is the most challenging to achieve, since it requires broad up-skilling across the organization and, sometimes, fighting human nature itself. As decision science author and Cornell professor J. Edward Russo once said, “the first thing most people will do when given access to tools and data is selectively filter information to prove previously established conclusions.

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The Path to Product Excellence: Avoiding Common Pitfalls and Enhancing Communication

Speaker: David Bard, Principal at VP Product Coaching

In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.

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Look Out for Risks in Open Banking!

Teradata

Open Banking is re-shaping the landscape of financial services and introducing new types of risks extending beyond data security. Secure open banking is everyone’s responsibility.

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Every Business Needs an Analytics-Driven Content Marketing Strategy

Smart Data Collective

Analytics plays an invaluable role in modern marketing. We have talked extensively about the value of using data for marketing strategies in all industries. Analytics can be particularly useful for content marketing. Many marketers are stuck in 2008, when data analytics didn’t have a place in digital marketing strategies. This has changed dramatically in recent years, as data analytics has become increasingly vital to the future of content marketing.

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Traversing the Trinity of Statistical Inference Part 2: Confidence Intervals

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction This is the second article of the series on ‘Traversing. The post Traversing the Trinity of Statistical Inference Part 2: Confidence Intervals appeared first on Analytics Vidhya.

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Meet the Team: Talking PRIDE With Kyle, Katie and Cédric

Dataiku

Last week, in honor of Pride month, we held our first LGBTQ+ roundtable at Dataiku — organized by our Queer Employee Resource Group (ERG) — to not only celebrate Pride month as a company, but raise awareness among Dataikers on LGBTQ+ stakes within the workplace in order to, ultimately, eliminate discrimination against members of the LGBTQ+ community and share best practices for allies on how to support them.

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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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How Does A.I. Learn? No need to fear the Singularity. Yet.

Grooper

How does AI learn? It’s a question often asked but rarely is the truth revealed. AI is just not as smart as we’d like for it to be. But let’s not confuse smart with powerful. Or, power with compute. At the end of the day, all we really want is for technology to do difficult things quickly and with very little human effort. We also want these things done accurately.

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Huge Benefits Data Scalability Can Create for Your Business

Smart Data Collective

We recently pointed out that effective data management is the key to running a successful organization. You should recognize that big data is an asset that shouldn’t be discounted. The Merits of Big Data in Organizational Management. While you will always need to rely on intuition to some extent when it comes to your business, having some numbers to back up your decisions can be beneficial in a number of different ways.

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Polars: The fastest DataFrame library you’ve never heard of

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Pandas is the most popular library when it comes to. The post Polars: The fastest DataFrame library you’ve never heard of appeared first on Analytics Vidhya.

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The New Era of Telco Transformation

Dataiku

If there’s one thing that’s for certain, it is that the telecommunications industry and its key inhabitants (“telcos” as we’ll refer to them here) are not the same as they were before the global health crisis. According to EY , communications providers were “finally being appreciated as providers of critical infrastructure in times of need,” as telcos supported the transition to digital communications and connectivity during a time when there was no other option.

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The Big Payoff of Application Analytics

Outdated or absent analytics won’t cut it in today’s data-driven applications – not for your end users, your development team, or your business. That’s what drove the five companies in this e-book to change their approach to analytics. Download this e-book to learn about the unique problems each company faced and how they achieved huge returns beyond expectation by embedding analytics into applications.