Sat.Jan 16, 2021 - Fri.Jan 22, 2021

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Leveraging Data Analytics for YouTube SEO for Maximum Visibility

Smart Data Collective

Big data is at the core of any competent marketing strategy. We have talked before about the importance of merging big data with SEO. However, we mostly talked about using data-driven SEO to drive traffic to your money site. Big data SEO strategies can also be very effective with YouTube marketing. Big Data is at the Core of Your YouTube SEO Strategy.

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A Guide to the Naive Bayes Algorithm

Analytics Vidhya

ArticleVideos This article was published as a part of the Data Science Blogathon. Introduction to Naive Bayes algorithm Naive Bayes is a classification algorithm. The post A Guide to the Naive Bayes Algorithm appeared first on Analytics Vidhya.

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Tableau and Salesforce bring New Look to Business Analytics

David Menninger's Analyst Perspectives

Businesses are transforming their organizations, building a data culture and deploying sophisticated analytics more broadly than ever. However, the process of using data and analytics is not always easy. The necessary tools are often separate, but our research shows organizations prefer an integrated environment. In our Data Preparation Benchmark Research , we found that 41% of participants use Analytics and Business Intelligence tools for data preparation.

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Do You Need a DataOps Dojo?

DataKitchen

As DataOps activity takes root within an enterprise, managers face the question of whether to build centralized or decentralized DataOps capabilities. Centralizing analytics brings it under control but granting analysts free reign is necessary to foster innovation and stay competitive. The beauty of DataOps is that you don’t have to choose between centralization and freedom.

Metrics 243
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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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Big Data Plays Key Role in Helping Satellites Get Launched into Orbit

Smart Data Collective

Big data is changing the space race in ways that original founders at NASA and other global space exploration organizations never foresaw decades ago. Miriam Kramer, an author with Axios, talked about the growing number of space companies that are finding new ways to utilize big data. They hope new advances in data technology will help them connect with new markets.

Big Data 142
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Understanding Architecture of LSTM

Analytics Vidhya

ArticleVideos This article was published as a part of the Data Science Blogathon. Introduction “Machine intelligence is the last invention that humanity will ever. The post Understanding Architecture of LSTM appeared first on Analytics Vidhya.

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Building a Machine Learning Application With Cloudera Data Science Workbench And Operational Database, Part 3: Productionization of ML models

Cloudera

In this last installment, we’ll discuss a demo application that uses PySpark.ML to make a classification model based off of training data stored in both Cloudera’s Operational Database (powered by Apache HBase) and Apache HDFS. Afterwards, this model is then scored and served through a simple Web Application. For more context, this demo is based on concepts discussed in this blog post How to deploy ML models to production.

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Customer Data Analytics is Critical to the Future of Account-Based Marketing

Smart Data Collective

We have talked at length about the importance of data analytics in the field of marketing. Data analytics offers many useful insights for companies striving to boost their market share. One of the best applications of data analytics is through enhanced account-based marketing. There are a lot of ways to use big data to get a better understanding of a target customer group, which is a vital part of any marketing strategy.

Marketing 142
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ML Interpretability using LIME in R

Analytics Vidhya

ArticleVideos Overview Merely building the model is not enough without stakeholders not being to interpret the outputs of your model In this article, understand. The post ML Interpretability using LIME in R appeared first on Analytics Vidhya.

Modeling 397
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How to supercharge data exploration with Pandas Profiling

Domino Data Lab

Producing insights from raw data is a time-consuming process. Predictive modeling efforts rely on dataset profiles , whether consisting of summary statistics or descriptive charts. Pandas Profiling , an open-source tool leveraging Pandas Dataframes, is a tool that can simplify and accelerate such tasks. This blog explores the challenges associated with doing such work manually, discusses the benefits of using Pandas Profiling software to automate and standardize the process, and touches on the l

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8 Steps to Transformation at Speed & Scale – Your Guide to Deploying StratOps

📌Is your Data & AI transformation struggling to really impact the business? Discover the game-changing StratOps approach that: Bridges the Gap : Connect your Data & AI strategy to your operating model, to ensure alignment at every level. Prioritizes Outcomes : Focuses on concrete business outcomes from day one, rather than capabilities in isolation.

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Digital Transformation is a Data Journey From Edge to Insight

Cloudera

Digital transformation is a hot topic for all markets and industries as it’s delivering value with explosive growth rates. Consider that Manufacturing’s Industry Internet of Things (IIOT) was valued at $161b with an impressive 25% growth rate, the Connected Car market will be valued at $225b by 2027 with a 17% growth rate, or that in the first three months of 2020, retailers realized ten years of digital sales penetration in just three months.

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Blockchain: The Fall of Traditional Centralized Systems in Business & Finance

Smart Data Collective

Blockchain is one of the most important technologies to shape the world. One of the biggest industries that has been affected has been finance. The market for blockchain technology in the financial sector is expected to reach over $3 billion by 2024. The question many experts are asking is: “what factors are driving the growth in blockchain in the financial industry?

Finance 139
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An Introduction to Hypothesis Testing

Analytics Vidhya

ArticleVideos This article was published as a part of the Data Science Blogathon. Introduction: Many problems require that we decide whether to accept or. The post An Introduction to Hypothesis Testing appeared first on Analytics Vidhya.

Testing 391
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The Art of Collaborative Data Science at Scale

Dataiku

As data science, machine learning, and AI have become increasingly popular and competition begins to rise, companies are facing larger-scale projects and need to know where to focus their energy. According to polling results from a Gartner webinar in May 2020 , the majority of organizations have been maintaining or even increasing their investments in AI throughout the COVID-19 crisis.

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Marketing Operations in 2025: A New Framework for Success

Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com

Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.

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Fostering community to help drive cultural change

Cloudera

2020 put on full display how humanity shows up in times of hardship. We saw everything from street celebrations to usher weary medical personnel home after long days fighting to save lives to places like food banks receiving more donations and volunteers than ever before. Some communities were harder hit than others, and we’ve seen the same in the global workplace.

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Big Data Helps Solar Energy Become Major Cost Saver for Businesses

Smart Data Collective

Many people don’t realize the countless benefits that big data has provided for the solar energy sector. A growing number of solar energy companies are using new advances in data analytics and machine learning to increase the value of their products. A little over a year ago, Entrepreneur.com published an article on this topic titled Big Data and Solar Energy Are a Match Made in Heaven. “This is where big data comes in.

Big Data 134
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Bear run or bull run, Can Reinforcement Learning help in Automated trading?

Analytics Vidhya

ArticleVideos This article was published as a part of the Data Science Blogathon. Introduction Bear and bull are terms that you will get to. The post Bear run or bull run, Can Reinforcement Learning help in Automated trading? appeared first on Analytics Vidhya.

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How to Implement Longview Tax in Six Easy Steps

Jet Global

One of the objections large multinational entities (MNEs) have when considering whether to introduce tax software is the perceived time and effort required to roll it out successfully. As a result, tax software implementation is a project that is often added to the ”too difficult” pile of tasks to complete—despite the undisputable benefits derived from streamlining and automating tax calculations and reporting with purpose-built software.

Testing 98
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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

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A Beginner’s Guide to Infusing Analytics into Products and More

Sisense

Blog. Whether you produce an app, service, or experience, you’re definitely collecting a lot of data in the process. As data is becoming a defining characteristic in the modern business era, your company’s data stores are a powerful way for you to differentiate your product, add value for your users, drive revenue, and more. Infusing insights via an analytics solution (vs building analytics yourself) can bring a number of benefits to your organization, from a reduced total cost of ownershi

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Why Your Business Needs a Data Backup Strategy

Smart Data Collective

While protecting your data is a matter of paramount importance for ordinary users, there are also considerations for business owners. Every viable enterprise has myriads of crucial data that must be protected at all costs, not just by virus protection software but also in a more complex way. Otherwise, hijackers will undoubtedly figure out how to steal and profit from the pillars of information stored on your company’s computers and servers.

Strategy 127
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A Quick Introduction to K – Nearest Neighbor (KNN) Classification Using Python

Analytics Vidhya

ArticleVideos This article was published as a part of the Data Science Blogathon. Introduction This article concerns one of the supervised ML classification algorithm-KNN(K. The post A Quick Introduction to K – Nearest Neighbor (KNN) Classification Using Python appeared first on Analytics Vidhya.

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How to Improve Accuracy in Your Yardi Operational Reports

Jet Global

Webinar Date: March 10, 2021 at 1 PM Local Time. Americas. Register Now. (PST/EST). Europe, Middle East, Africa. Register Now. (GMT). Asia Pacific. Register Now. (AEDT). Do you spend hours building reports in which your static data quickly become outdated, requiring you to repeat the entire process over and over? Maybe you wait on IT or an outside consultant, only for the report to have errors and require more of your time to resolve.

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The Ultimate Guide To Data-Driven Construction: Optimize Projects, Reduce Risks, & Boost Innovation

Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network

In today’s construction market, owners, construction managers, and contractors must navigate increasing challenges, from cost management to project delays. Fortunately, digital tools now offer valuable insights to help mitigate these risks. However, the sheer volume of tools and the complexity of leveraging their data effectively can be daunting. That’s where data-driven construction comes in.

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Doing Power BI the Right Way: 4. Power Query in Dataflows or Power BI Desktop

Paul Turley

Part of the the series: Doing Power BI the Right Way Power BI, more that any other Microsoft product in my recollection, offers more options and choices to architect and deliver a solution.

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5 Technologies Massively Disrupting Hotel Customer Service in the Age of Big Data

Smart Data Collective

Big data is changing the future of the hospitality sector in immeasurable ways. Although many facets of this industry are impacted by new advances in data technology, customer service is arguably the most important. Any business that relies on customer service must learn to adapt to developing customer needs if they’re going to stay relevant. This is particularly true in the hospitality field, where providing top-tier customer service is critical to staying in business.

Big Data 108
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Quick Steps to Learn Data Science As a Beginner

Analytics Vidhya

ArticleVideos This article was published as a part of the Data Science Blogathon. Data Science and its applications first caught my attention in 2016. The post Quick Steps to Learn Data Science As a Beginner appeared first on Analytics Vidhya.

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Storing Data in the Cloud

TDAN

In the cloud-era, should you store your corporate data in Cosmos DB on Azure, Cloud Spanner on the Google Cloud Platform, or in the Amazon Quantum Ledger? The overwhelming number of options today for storing and managing data in the cloud makes it tough for database experts and architects to design adequate solutions. However, they […].

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Launching LLM-Based Products: From Concept to Cash in 90 Days

Speaker: Christophe Louvion, Chief Product & Technology Officer of NRC Health and Tony Karrer, CTO at Aggregage

Christophe Louvion, Chief Product & Technology Officer of NRC Health, is here to take us through how he guided his company's recent experience of getting from concept to launch and sales of products within 90 days. In this exclusive webinar, Christophe will cover key aspects of his journey, including: LLM Development & Quick Wins 🤖 Understand how LLMs differ from traditional software, identifying opportunities for rapid development and deployment.

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Stress Free Goal Setting with Deb Eckerling

Data Science 101

Stress-free Goal Setting with Deb Eckerling. Debra Eckerling is a goal-setting expert. She offers coaching, workshops, and online support for people looking to achieve goals in any aspect of life. She has organized conferences, served as an editor for numerous publications, and authored 3 books. Deb joined to talk about goal setting and her latest book, Your Goal Guide.

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C and C++ Are Surprisingly Useful for Data Science Applications

Smart Data Collective

We recently heard from a number of C and C++ experts talk about its merits with data science. Cristiano L. Fontana of OpenSource.com talked about some of these benefits in a recent article. Here is an excerpt from this post: “While languages like Python and R are increasingly popular for data science, C and C++ can be a strong choice for efficient and effective data science.

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Here’s What You Need to Know to Become a Data Scientist!

Analytics Vidhya

ArticleVideos Overview Being a data scientist has become a prestigious career path in 2021 Understand the whole ball of wax around being a data. The post Here’s What You Need to Know to Become a Data Scientist! appeared first on Analytics Vidhya.

Analytics 376
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WEBCAST: Analytics Through the Lens of Conversational AI

bridgei2i

WEBCAST: Analytics Through the Lens of Conversational AI. Business Intelligence (BI) has always been a valuable aid for decision making. But now, with the advances in AI, it is possible to make the insights from BI and analytics easier to consume, through a conversational interface. Essentially, data can converse with a busy executive on the go. BI bots, powered by conversational AI, are driving improved customer experience and user engagement.

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Data Modeling for Direct Mail: Boosting Multi-Channel Reach and Response

Speaker: Jesse Simms, VP at Giant Partners

This new, thought-provoking webinar will explore how even incremental efforts and investments in your data can have a tremendous impact on your direct mail and multi-channel marketing campaign results! Industry expert Jesse Simms, VP at Giant Partners, will share real-life case studies and best practices from client direct mail and digital campaigns where data modeling strategies pinpointed audience members, increasing their propensity to respond – and buy.