Sat.Nov 28, 2020 - Fri.Dec 04, 2020

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Density-Based Clustering

Domino Data Lab

Original content by Manojit Nandi – Updated by Josh Poduska. Cluster Analysis is an important problem in data analysis. Data scientists use clustering to identify malfunctioning servers, group genes with similar expression patterns, and perform various other applications. There are many families of data clustering algorithms, and you may be familiar with the most popular one: k-means.

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Nervous about your first data science project! Here are 6 easy steps to get started!

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction We all have been hearing about the buzz word – “Data. The post Nervous about your first data science project! Here are 6 easy steps to get started! appeared first on Analytics Vidhya.

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From Chaos to Control with Data Intelligence

erwin

As the amount of data grows exponentially, organizations turn to data intelligence to reach deeper conclusions about driving revenue, achieving regulatory compliance and accomplishing other strategic objectives. It’s no secret that data has grown in volume, variety and velocity, with 2.5 quintillion bytes generated every day and 90 percent of the world’s data volume created just in the last two years.

Metadata 141
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Data Storytelling: The Ultimate Collection of Resources

Juice Analytics

Ocean_of_the_Stream_of_Stories. From Edward Tufte's Visual Explanations, a diagram based on Salman Rushdie‘s description of the Indian epid Kathasaritsagara or Ocean of the Streams of Story. The hot new concept in data visualization is "data storytelling"; some are calling it the next evolution of visualization (I'm one of them). However, we're early in the discussion and there are more questions than answers: Is data storytelling more than a catchy phrase?

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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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Real-Time Interactive Data Visualization Tools Reshaping Modern Business

Smart Data Collective

If the work of a human’s mind can be somehow represented, interactive data visualization is the closest form of such representation right before pure art. So, what is Interactive data visualization and how are they driven by modern interactive data visualization tools? Generally speaking, data visualization itself visually represents a certain database.

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Use of Machine Learning in Dairy farming

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction: These days if we read anything, we can see something is. The post Use of Machine Learning in Dairy farming appeared first on Analytics Vidhya.

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How to Calculate YoY Growth Effectively?

FineReport

When looking at your company’s monthly metrics, it’s essential to focus on a month’s worth of data. Realizing a 50% increase in sales can be encouraging, but looking at these numbers separately doesn’t necessarily provide a full picture of your business performance. A month’s metrics is worthwhile, but it can be misleading if not placed in the proper context.

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7 Tremendous Changes Artificial Intelligence Brings to the Education Sector

Smart Data Collective

Artificial intelligence is shaping our world in unbelievable ways. As previously stated, it has both benefits and drawbacks. What do you think would happen if robots took over the world? Would you never have to go to school again? Or would you never have to take the bus again? Oh, wait! Will the bus now be driven by a robot? You need to think about the different ways AI is changing our world.

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How can you Master Data Science without a Degree in 2020?

Analytics Vidhya

Introduction Becoming a data scientist has become like the “American Dream” – everybody wants to have it! However, for all the beginners out there. The post How can you Master Data Science without a Degree in 2020? appeared first on Analytics Vidhya.

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Data and Analytics — the Foundation of Successful Apps

Sisense

Blog. Every company is becoming a data company. Data-Powered Apps delves into how product teams are infusing insights into applications and services to build products that will delight users and stand the test of time. Applications of all kinds now face increasing pressure to offer analytics and stats to users on both sides of the fence: Subscribers and members want to see their personal analytics dashboards ; business teams want to see data on those members as well as app performance.

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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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Lack of Accounting Visibility = Lost Revenue Opportunities

Jet Global

A common complaint of executive level management is “I know that we track a lot of data in our ERP system, but for some reason, we have a lot of difficulty gaining visibility into that information.”. That lack of visibility has many implications, including an incomplete view of the levers of profitability, time wasted tracking down information, and the inability to identify macro trends, and adjust strategy to new market conditions.

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The Top 5 Dataiku Academy Courses From 2020

Dataiku

In May, Dataiku launched Dataiku Academy , a free online learning tool to enable all users to build their skills around Dataiku DSS. Dataiku Academy is designed for every type of user — from non-technical roles to the hardcore coders — and meant to guide them through self-paced, interactive online training. Below, we share the five Dataiku Academy courses with the highest enrollment and a brief overview of what each course contains so you can decide which ones to take in the new year.

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A Detailed Introduction to K-means Clustering in Python!

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Cluster analysis or clustering is an unsupervised machine learning algorithm that. The post A Detailed Introduction to K-means Clustering in Python! appeared first on Analytics Vidhya.

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In The Age Of Big Data, Is Microsoft Excel Still Relevant?

Smart Data Collective

In recent years, leading professional fields like marketing have leaned heavily on phrases like, “content is king,” but if you’ve been paying attention – not just to marketing, but to many other growing fields, including eCommerce, healthcare, and finance – the real reigning force is not content, but data. Big data, which is itself a consequence of other technology, gives us the tools to interpret our actions, to strategize and analyze in new and more objective ways.

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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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Expanding Role of Data Governance, Metadata Management, and Data Quality

TDAN

Ensuring data quality is an important aspect of data management and these days, DBAs are increasingly being called upon to deal with the quality of the data in their database systems more than ever before. The importance of quality data cannot be overstated. Poor data quality costs the typical company between 10% and 20% of […].

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A Guide to Creating Your Digital Transformation Roadmap

TreehouseTechGroup

Digital transformation consulting organizations such as Treehouse have the opportunity to observe successful transformation projects along with others that are floundering or have been abandoned. Based on this observation and analysis, we see that a well thought out roadmap for digital transformation of your organization dramatically increases the probability of success.

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Improve your Predictive Model’s Score using a Stacking Regressor

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction The general principle of ensembling is to combine the predictions of various. The post Improve your Predictive Model’s Score using a Stacking Regressor appeared first on Analytics Vidhya.

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Familiarize Yourself with the Legality of Data Accumulation Under New Data Governance Rules

Smart Data Collective

Data is absolutely vital to your occupation as a business owner. After all, this information lets you understand your market better, enabling you to provide better customer experiences. However, customers aren’t as willing to share personal information with companies. In fact, a study found that 79% of Americans are concerned about how their data is being used by companies, which is not good for building trust.

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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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Project Update (Dec 2020)

The Data Visualisation Catalogue

This is an update on the project, as it’s been a while since I last posted on this blog. I felt I would be doing the users of this website a disservice if I didn’t explain my absence and the lack of new content. But the reasons I’ve been away have been for (I believe) mostly good reasons, that have contributed greatly to developing my understanding of data visualisation and how to teach it to others.

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The Data-Centric Revolution: The Role of SemOps (Part 1)

TDAN

We’ve been working on something we call “SemOps” (like DevOps but for Semantic Technology + IT Operations). The basic idea is how can we create a pipeline to go from proposed enterprise ontology or taxonomy enhancements to “in-production” as frictionlessly as possible. As so often happens, when we shine the Semantic Light on a topic […].

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Lets Open the Black Box of Random Forests

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Random Forests are always referred to as black-box models. Let’s try. The post Lets Open the Black Box of Random Forests appeared first on Analytics Vidhya.

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Data Automation Has Become an Invaluable Part of Boosting Your Business

Smart Data Collective

Automation is a growing market throughout the world. According to many experts, it is expected to be worth $83 billion by the end of next year. The appeal of automation becomes a lot more evident when you understand its capabilities. Data automation, in particular, can offer some tremendous benefits. Understanding the Phenomenal Benefits of Data Automation.

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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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How to Become a BI Developer without Learning How to Script

Jet Global

Finance teams often work with business intelligence (BI) tools to analyze data, identify trends, pinpoint discrepancies, and build informative, compelling reports for management. Unfortunately, most BI tools require substantial development effort just to get up and running, such as deep technical expertise, access to development software such as Visual Studio.net, and a significant time commitment.

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2020 Data Impact Award Winner Spotlight: Rush University Medical Center

Cloudera

After a tumultuous year, the final award category at the Data Impact Awards was a much needed pick me up for everyone in attendance. Showcasing some of the most inspiring and uplifting use cases of Cloudera’s technology, The Data for Good category recognizes organizations that are tackling the challenging issues affecting society and the planet — and we all know there are plenty of them in 2020!

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Beginners Guide to Manipulating SQL from Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction I just completed Analytics Vidhya’s course on SQL for Data Science. The post Beginners Guide to Manipulating SQL from Python appeared first on Analytics Vidhya.

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Clever Ways to Use AI to Simplify Pokémon Go Spoofing

Smart Data Collective

Pokémon activities have changed dramatically since they first became popular over 20 years ago. Artificial intelligence has been highly influential in changing the way that the game is played. AI has even made it possible to use a fake GPS joystick for Pokémon Go with spoofing or Dr. Fone Virtual Location. Artificial intelligence has been particularly important with the Pokémon Go game.

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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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Is RPA the same as AI? What’s the Difference, and What Are the Use Cases?

Dataiku

The short answer is: No, robotic process automation (RPA) and artificial intelligence (AI) are not the same thing. However, they are two complementary technologies that can increase efficiency in a wide range of business processes.

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How to configure clients to connect to Apache Kafka Clusters securely – Part 1: Kerberos

Cloudera

This is the first installment in a short series of blog posts about security in Apache Kafka. In this article we will explain how to configure clients to authenticate with clusters using different authentication mechanisms. Secured Apache Kafka clusters can be configured to enforce authentication using different methods, including the following: SSL – TLS client authentication.

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Stock Market Price Trend Prediction Using Time Series Forecasting

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Time series forecasting is used to predict future values based on previously. The post Stock Market Price Trend Prediction Using Time Series Forecasting appeared first on Analytics Vidhya.

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Complicated vs. Complex: the human factor in project management

CONTACT Software

Classic, agile or hybrid project management – what do I choose in a project? The Stacey Matrix (after the organizational theorist Ralph D. Stacey) can provide a decision support. A criteria catalog is used to assess how well a project plan is already understood – in terms of requirements on the one hand and the … Continue reading "Complicated vs.

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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.