Analytics Vidhya
DECEMBER 29, 2020
ArticleVideos Overview The projects are a way to enhance and improve your knowledge in the data science domain. To boost your resume, here we. The post 10 Data Science Projects Every Beginner should add to their Portfolio appeared first on Analytics Vidhya.
Smart Data Collective
DECEMBER 14, 2020
Retailers are struggling to keep up with a growing demand for online purchases. They have found that the pandemic has completely upended their business models, as customers shift towards online commerce. This has driven many companies to find more innovative ecommerce marketing models that rely on big data. As such, retailers have an even tougher job of keeping on top of supply and demand.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
BA Learnings
DECEMBER 27, 2020
Is your value proposition aligned with customer needs? Are your customers or partners satisfied? Are your products and services hard to replicate? Does each of your product or service offer great value for money? Business Analysts working in startup environments or in the strategy function of businesses will often be faced with situations where they are required to define the value proposition of products or service, in collaboration with business owners.
DataKitchen
DECEMBER 30, 2020
While 2020 has been a collectively difficult year, we want to take a moment to thank all of our employees for the hard work they put into continually developing our DataKitchen DataOps Platform for our customers. We also want to thank all of the data industry groups that have recognized our DataKitchen DataOps Platform and Transformation Advisory Services throughout the year.
Advertisement
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?
Paul Turley
DECEMBER 25, 2020
Part of the the series: Doing Power BI the Right Way Data Modeling 101: part 1 (more advanced techniques coming in part 2) A data model is the foundation of analytic reporting. It provides structure and order over information that might otherwise be chaotic and untrustworthy.
erwin
DECEMBER 3, 2020
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.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
Smart Data Collective
DECEMBER 30, 2020
As technology has advanced in the transportation industry, there’s a lot of data available that can enhance truckers’ safety all over the world. One recent example is the development of electronic logging devices (ELD) that monitor drivers’ Hours of Service (HOS) compliance. But there are other examples of how technology is improving truck driver safety – that’s what telematics is all about.
BA Learnings
DECEMBER 28, 2020
Market research is an essential aspect of managing a business and can be conducted with both internal and external customers in mind. The data gathered through online survey tools can be fed into a range of applications for more in-depth analysis. The subsequent analysis of this data can assist in the delivery of insights that can be applied to reduce staff turnover, improve employee relations and engagement, assist in product development and improve client retention, to mention a few benefits.
DataKitchen
DECEMBER 21, 2020
We understand that many folks would like to say goodbye and good riddance to 2020. But before we shut the door on such a turbulent, transformative year, we at DataKitchen would like to share the creme de la creme of our DataOps content in hopes that it can help you as you learn about and implement DataOps. We hope you and your family have happy holidays and we look forward to continuing your DataOps journey with you in the new year.
Juice Analytics
DECEMBER 1, 2020
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?
Advertisement
📌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.
erwin
DECEMBER 10, 2020
Learn. Transform. Advance. That was the theme of the global conference we produced in October, but I’d venture to say it’s the mantra global organizations need to adopt as we continue to deal with the most disruptive event of our lifetime: COVID-19. Learn. When I look back, I should not be surprised that 2020 has been incredibly busy for us here at erwin.
Analytics Vidhya
DECEMBER 18, 2020
Introduction Data science is not a choice anymore. It is a necessity. 2020 is almost in the books now. What a crazy year from. The post A Review of 2020 and Trends in 2021 – A Technical Overview of Machine Learning and Deep Learning! appeared first on Analytics Vidhya.
Smart Data Collective
DECEMBER 18, 2020
At any given moment, a single person creates roughly 1.7 MB of data. We’re creating and putting more information out there than at any other point in human history. At this rate, by the end of the year, we can expect the Big Data market to reach 40 trillion gigabytes. That’s more data than most of us can even begin to imagine. Now, this data contains everything from the pictures you upload on social media to comments you post on Reddit and everything in between.
BA Learnings
DECEMBER 28, 2020
How can we aim for, or even define, business success, if we don't know what it is? Critical success factors (CSFs) are an important element in business, and essentially entail identifying what really matters. In this blog post, we will explain exactly what critical success factors are, and take you through some of the different types. Deciding what matters Does your team have its eye on the ball?
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.
DataKitchen
DECEMBER 20, 2020
It is not the strongest of the species that survives, nor the most intelligent that survives. It is the one that is most adaptable to change. – Leon C. Megginson on Charles Darwin “Origin of Species”. Adapt or face decline. The agile alliance defines “ business agility ” as the ability of an organization to sense changes internally or externally and respond accordingly in order to deliver value to its customers.
Ontotext
DECEMBER 9, 2020
Declare, then auto-generate, simple, controlled, intuitive APIs, that are approachable, no matter your background. Stop wasting time building data access code manually, let the Ontotext Platform auto-generate a fast, flexible, and scalable GraphQL APIs over your RDF knowledge graph. Let the platform handle the boring grunt work so that you can get on with rocket science.
Paul Turley
DECEMBER 31, 2020
Part of the the series: Doing Power BI the Right Way Data modeling 201-301 – continued from part 1 So far, you’ve seen that the essential components of a data model include tables related to each other.
Analytics Vidhya
DECEMBER 17, 2020
Are you Ready to Become a Data Scientist in 2021? A new year beckons! New resolutions to become a data scientist have to be. The post A Comprehensive Learning Path to Become a Data Scientist in 2021! appeared first on Analytics Vidhya.
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.
Smart Data Collective
DECEMBER 26, 2020
Machine learning has always been the great hope for automating a variety of tasks. However, writing was often seen as something that could never be automated. Significant progress has been made over the years, and tools like OpenAI are making it easier than ever before to streamline the essay writing process. For students looking to streamline their academic journeys, new open-source tools could offer essay help that was simply never available in the past.
BA Learnings
DECEMBER 28, 2020
Is your value proposition aligned with customer needs? Are your customers or partners satisfied? Are your products and services hard to replicate? Does each of your product or service offer great value for money? Business Analysts working in startup environments or in the strategy function of businesses will often be faced with situations where they are required to define the value proposition of products or service, in collaboration with business owners.
Juice Analytics
DECEMBER 7, 2020
We designed Juicebox to be the easiest way to present your data. It offers the power and flexibility to create data stories that combine exploration while emphasizing your message. But sometimes you just need to share something simple — like a leaderboard that ranks and compares Premier League players. I want to show you how easy that is to do in Juicebox.
Dataiku
DECEMBER 14, 2020
What happens when AI systems make a mistake? Why does that matter? Well, the mistakes can result in significantly impactful errors that cause harm, a very palpable risk for organizations across industries, from healthcare and finance to marketing and retail.
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.
Domino Data Lab
DECEMBER 8, 2020
Notebooks have become one of the key primary tools for many data scientists. They offer a clear way to collaborate with others throughout the process of data exploration, feature engineering and model fitting and through utilizing some clear best practices , can also become living documents of how that code operates. Notebooks give users the ability to choose the languages and libraries of their choice which offers great flexibility but, on the counter, point they can be very code intensive doin
Analytics Vidhya
DECEMBER 15, 2020
Overview Here is a list of Top 15 Datasets for 2020 that we feel every data scientist should practice on The article contains 5. The post Top 15 Open-Source Datasets of 2020 that every Data Scientist Should add to their Portfolio! appeared first on Analytics Vidhya.
Smart Data Collective
DECEMBER 21, 2020
We previously talked about the benefits of data analytics in the insurance industry. One report found that big data vendors will generate over $2.4 billion from the insurance industry. However, major advances in AI have arguably affected the insurance industry even more. AI has moved forward in giant leaps over the last ten years, and new developments are being realized every day.
DataCamp
DECEMBER 3, 2020
One reason for the success of tech companies like Netflix and Airbnb: They’ve grown up with data. Not in tech? Here’s how to rebuild your company around data.
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.
Cloudera
DECEMBER 15, 2020
It is crucial for organizations to focus on supporting the new way of work, enhancing productivity, and improving cost efficiency to ensure business survival in the post-pandemic world. However, those that are overly focused on these short-term goals risk losing sight of what’s truly important. As shared in my previous post , diverse teams can help organizations unlock innovations that allow them to adapt to market changes quickly and drive business growth.
TreehouseTechGroup
DECEMBER 23, 2020
When as the last time you used a product that was not produced, marketed, or distributed digitally? It will surely be an effort to think of one. The rapid rate of change the world is seeing in all ways of living and working today is unlike ever before. From the largest conglomerates to startups, every… The post IT Transformation Vs. Digital Transformation appeared first on Treehouse Tech Group.
Domino Data Lab
DECEMBER 2, 2020
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.
Analytics Vidhya
DECEMBER 22, 2020
Overview Your quest to understand how to become a data scientist in 2021 ends here Here’s a month on month plan that you can. The post A Super Useful Month-by-Month Plan to Master Data Science in 2021 appeared first on Analytics Vidhya.
Advertisement
The complexity of financial data, the need for real-time insight, and the demand for user-friendly visualizations can seem daunting when it comes to analytics - but there is an easier way. With Logi Symphony, we aim to turn these challenges into opportunities. Our platform empowers you to seamlessly integrate advanced data analytics, generative AI, data visualization, and pixel-perfect reporting into your applications, transforming raw data into actionable insights.
Expert insights. Personalized for you.
400 
Let's personalize your content