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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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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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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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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How To Get Promoted In Product Management

Speaker: John Mansour

If you're looking to advance your career in product management, there are more options than just climbing the management ladder. Join our upcoming webinar to learn about highly rewarding career paths that don't involve management responsibilities. We'll cover both career tracks and provide tips on how to position yourself for success in the one that's right for you.

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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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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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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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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 141
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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 400
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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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Navigating the Future: Generative AI, Application Analytics, and Data

Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

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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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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 138
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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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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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Get Better Network Graphs & Save Analysts Time

Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

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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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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 131
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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 399
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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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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

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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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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 125
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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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Understanding User Needs and Satisfying Them

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

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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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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 390
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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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How Embedded Analytics Gets You to Market Faster with a SAAS Offering

Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.

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Eliminate Manual Data Dumps From Your SAP Reporting Process

Jet Global

Webinar Date: February 18, 2021 at 1 PM Local Time. Americas. Register Now. (PST/EST). Europe, Middle East, Africa. Register Now. (GMT). Asia Pacific. Register Now. (AEDT). With businesses needing access to up-to-the-minute information to answer ad hoc questions and adapt to rapidly changing business conditions, is your current reporting process fit for purpose?

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Starting a Data Career

Data Science 101

Starting a Data Career. If you are just starting a career in data, you will not want to miss this live interview. Join me as I speak with Henrique Senra from Simbiose Ventures to discuss the book, Getting Started with Data. The book was written out of a desire to provide a better future for low-income Brazilians. We will talk about. The story behind the book Tips for getting started with a data career Who the book is for Why now is a great time to learn data Henrique’s data journey Any que

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In-depth Intuition of K-Means Clustering Algorithm in Machine Learning

Analytics Vidhya

ArticleVideos This article was published as a part of the Data Science Blogathon. Introduction Clustering is an unsupervised machine learning technique. It is the. The post In-depth Intuition of K-Means Clustering Algorithm in Machine Learning appeared first on Analytics Vidhya.

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Top 5 Big Data Trends Influencing Education in 2021

Smart Data Collective

Technologies change the way we teach and learn. Big data is one of the most important technological advances that is shaping the education sector in the 21st Century. New big data tools help to reimagine and improve our strategies. They are especially relevant in the context of distance learning. Technologies empower a student-centered approach to education.

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Manufacturing Sustainability Surge: Your Guide to Data-Driven Energy Optimization & Decarbonization

Speaker: Kevin Kai Wong, President of Emergent Energy Solutions

In today's industrial landscape, the pursuit of sustainable energy optimization and decarbonization has become paramount. Manufacturing corporations across the U.S. are facing the urgent need to align with decarbonization goals while enhancing efficiency and productivity. Unfortunately, the lack of comprehensive energy data poses a significant challenge for manufacturing managers striving to meet their targets.