A blog about data analytics product development.
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May 17, 2024


An interesting blog that follows data visualization best practices. It is highly informative and reveals the intricacies of a visa application process.

April 10, 2024

Einstein Copilot for Tableau

Beta version

AI-powered visual analytics Einstein copilot for Tableau is data analytics with AI support. It helps users access data analysis easily. The new AI assistant from Tableau automates data analysis and gives you relevant questions and insights. You can analyze spoken data and ask follow-up questions without missing details. Einstein suite prevents data leakage and protects your data from third parties. Copilot makes it easier to learn how to analyze data using AI. Employees can get information faster with reliable AI assistance.

April 7, 2024
Dear users,

We are excited to announce that we have opened access to the demo version of our web application on the landing page of our website. This is a great opportunity for new users to experience the features and functionality of our application first hand.

By providing access to the demo version, we aim to showcase the capabilities of our web application and attract new users who may be interested in utilizing our services. This interactive experience will allow users to explore the various features, navigate through the interface, and get a feel for how our application can benefit them.

We encourage all interested individuals to visit our website and try out the demo version of our web application. We believe that this hands-on experience will demonstrate the value of our product and encourage users to become regular customers.

Thank you for your interest in our web application. We look forward to welcoming you as a new user.


VARD Team.

March 25, 2024
18 Lessons teaching everything you need to know to start building Generative AI applications.
Learn the fundamentals of building Generative AI applications with our 18-lesson comprehensive course by Microsoft Cloud Advocates. This course is 18 lessons. Each lesson covers its own topic so start wherever you would like! Lessons are labeled either "Learn" lessons explaining a Generative AI concept or "Build" lessons that explain a concept and code examples in both Python and TypeScript when possible.
Each lesson also includes a "Keep Learning" section with additional learning tools.
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March 22, 2024

UAE Launches Big Data Ecosystem And Digital Twin Platform For Energy And Infrastructure Advancement.

The Ministry of Energy and Infrastructure has announced the launch at the World Government Summit. The new platform aims to improve quality of life and promote sustainability in the country. It will analyse and use big data and digital tech for strategic decision making and sustainable growth. Digital twinning technology will be used to create accurate models of assets and operating facilities. This data will be provided to the platform, which will then use it for risk modeling, monitoring, and forecasting.The initiatives are all in line with making the UAE the leader in innovation and sustainability. The launch of these new initiatives and research projects is a huge step towards a future that's more sustainable and more technologically advanced for the country's energy and infrastructure industries.

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March 15, 2024

The 7 Main Trends in Data Analysis in 2024.

Data analysis is going to be a major part of business growth in 2024. Companies are trying to stay ahead by using data to make better decisions. Advanced computer systems and real-time data generation are getting more popular. AI programs can analyze data without needing human help. With data democratization, anyone can access information quickly without having to wait for permission. The search for "AI" is skyrocketing. Data mesh is a system that lets people analyze data themselves, spreading responsibility across teams. Synthetic data is great for analysis because it's high quality and confidential.

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March 14, 2024

Py Script to Build a Browser Dashboard.

The project is all about putting your machine learning skills to work in a serverless environment using PyScript. This is a great opportunity to practice creating and deploying an ML app. PyScript combines HTML and Python to make a scripting language that's easy to use. You'll be able to share your ML models with others and show off your skills. The goal is to build a web app with PyScript that runs a linear regression model. It's a great way to put your skills to the test and learn something new. You don't need any prior knowledge of machine learning or Python to get started. The course will walk you through everything you need to know. Everything you need for the project will be provided through the Skills Network Labs, and it's all accessible through a regular web browser. The labs work well with different browser versions, so you can use whatever you're comfortable with. Your instructor is an IBM data intern and graduate student in computer science, so you'll get the best guidance possible.

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March 9, 2024

Big Data Trends 2024.

In 2024, big data is expected to take a massive leap forward. It's becoming more and more important for making decisions and providing predictive insights. Some of the major trends in big data in 2024 include: - AI and ML automation are going to become even more common. - Stream processing is going to continue to grow in popularity. - There's going to be more emphasis on data masking and protection. - Companies are going to invest heavily in infrastructure for data lakes. Artificial intelligence and machine learning are going to be widely used for automating big data processes. And DataOps is going to make it easier for companies to adopt big data by streamlining the data processing flow.

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March 5, 2024
DataViz: Definition, objectives and uses.
Data visualization, or DataViz for short, is a bunch of techniques used to turn raw data into something more understandable. The concept has been around for centuries, starting with William Playfair's inventions in the 18th century. DataViz is used all over the place, like in analytical reports and in media. It's a powerful tool to communicate data science concepts. Dataviz makes complex data easier to understand with visual representations. Python is a popular language to explore and analyze datasets, and it's also used for DataViz. Matplotlib is one of the first Python libraries for making and manipulating graphs, and there are others like Seaborn to modernize and simplify graphics. There are also specialized libraries like Holoviz and Geoviews for creating mapped data. Data visualization packages have great documentation and are easy to use. Data visualization lets you make and save graphs that really summarize information from a data set.
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Februar 29, 2024

Introducing PyScript - How to Run Python in Your Browser.

Py Script: Run Python in the Browser for Data Science Py Script is a JavaScript framework for creating Python apps in the browser. Data scientists can use it to create websites based on their Python code. It's based on Pyodide, which is a Python port of Web Assembly/Emscripten. With Myscript, you can write Python code in HTML using components like py-env and py-script, and even have a Python REPL (read-eval-print-loop) in your browser! Here are some examples of what you can do with Py Script: write a simple "Hello World" program, or create diagrams using the bokeh library. PyScript makes it easier to create visual and interactive presentations of data products.
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Februar 22, 2024

Exasol forecasts for 2024: 5 trends based on artificial intelligence that data organizations should keep an eye on.

In 2023, AI adoption skyrocketed, impacting every aspect of data analysis. Organizations shifted from a "haphazard" approach to AI to one that's more "strategic". The democratization of data led to more training sessions for skills based on analysis. Organizations would spend more time and cash experimenting with AI. FinOps (financial operations) is now a top priority for CIOs (chief information officers) who want to save cash. Pressure from AI management is increasing on the C-suite (top execs). Taking trends into account could help better justify data strategies and make better use of data.

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Februar 19, 2024

The Benefits Of Being A Mentor In The Field Of Data Science

Data science candidates have a lot of options when it comes to tools and learning methods. Mentors and industry experts are there to help students in this complex field. Mentoring gives access to a network of professionals, and it's great for career growth. Junior data scientists really appreciate mentors because they help them understand the basics and get them started. Mentors get a lot of benefits from mentoring, like one-on-one tutoring and help with setting learning goals. They also help mentees understand the logic behind solving data problems. Mentoring can help both mentors and mentees deepen their knowledge of data science principles. It can also help mentors focus on specific aspects of data science, which in turn helps them enhance their own experience and expertise. Being a data science mentor gives companies access to talented people. The AIM Mentoring Circle program is a community-based program that encourages and supports long-term relationships between data scientists and their mentors.

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Februar 17, 2024

How to choose a BI tool

BI tools help you analyze and visualize data to make decisions. The choice of BI tool depends on your workflow, how it integrates with other systems, how you deploy it, and how you control versions. Dashboards aren't completely obsolete, but they're changing how we do data analysis and use BI tools. A new type of reverse ETL tool gives BI benefits right inside the tools you already know and like.

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Februar 16, 2024
Text-Based Emotion Recognition Using Deep Learning Approach
The paper suggests a text-based model for emotion recognition, which combines deep learning (DL) and machine learning (ML) techniques. It uses three datasets: IS NEAR, WASSA, and an emotion and stimulus data set. The model excels at dealing with multiple texts and emotion vocabulary, and the ML classifier (SVM) produces the highest accuracy rate (78.97%). The Bi-GROUP DL model achieves the most accurate result (79.46%), while the CNN DL model has the highest F1 score (80.76%). The hybrid model, which combines both DL and ML techniques, achieves a precision of 82.39%, recall of 80.40%, F1 score of 81.27%, and accuracy of 80.11%. More potential classifiers and pooling strategies are planned for future testing to further improve the results.

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Februar 15, 2024
Rules for the Use of Chart Types
Pie charts convey information about fractions of total volume more accurately than bar charts. Pie charts do not require the audience to mentally translate fractional or percentage values of portions. Bar charts can be problematic for comparing parts accurately, but sometimes it is more important to show fractions of the total volume. Pie charts and line charts are visually obvious, making them easier to interpret. Bar charts do not make it visually obvious that the chart shows a breakdown of the total.

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Februar 14, 2024
How to Improve Your Data Quality
Poor data quality costs organizations an average of $12.9 million and complicates data ecosystems. The focus on data quality (DQ) has increased in enterprise systems as organizations increasingly use data analytics to make business decisions. Gartner predicts that by 2022, 70% of organizations will closely monitor the level of data quality through metrics, improving it by 60%. Data quality is directly linked to the quality of decision making, providing better leads, customer insights, and improved customer relationships. R&D managers need to set data quality standards that can be followed by all business units in the organization. Data quality profiling helps identify corrective actions and provides valuable information to generate ideas for improvement plans. DQ dashboards provide comprehensive information about data quality and help make good business decisions based on reliable quality data.

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Februar 13, 2024
Synthetic data
Synthetic data is becoming a valuable resource for developing fraud detection and spam identification algorithms. The benefits of synthetic data include cost savings, increased speed, agility, enhanced intelligence, and privacy. By 2030, synthetic data will supplant real data in machine learning/deep learning models based on artificial intelligence. Synthetic data generation will become an integral part of the next generation machine learning workflow. The scientific basis, such as the trade-off between accuracy, utility and privacy, for synthetic data is still missing.

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Februar 12, 2024
Launching a study of our analytics product on the first users.
Today we are starting product research on our workspace. We are very interested to know your opinion about a modern data analysis product for making decisions based on data. We want to make a product that can help you solve your tasks quickly and conveniently.

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Februar 10, 2024
What is a PRD or Product Requirement Document?
PRD (detailed list of specifications for product development) is an important document that defines the product requirements. The PRD provides an idea of what the final product should accomplish and details all the features that will be required to achieve those goals. The clearer the PRD, the more likely it is that the final product will achieve the desired results. A PRD provides tremendous clarity to all stakeholders and maximizes the chances of satisfaction with the end result. PRD consists of various sections including document title, stakeholders, technical and business objective, market analysis and target demographics, product overview and product requirements. In today's business world, clearly defining product requirements can be a major challenge. The PRD is a working document that can be fleshed out as the product is developed. Product requirements will inevitably change over time, and the PRD must have the flexibility to make improvements on the fly.

Februar 8, 2024
Transform Your Data Analytics with AI
In the age of connectivity, businesses are producing massive amounts of data. Data analytics tools using artificial intelligence can find, clean, analyze, and visualize data with little or no human intervention. Artificial intelligence based software can automatically analyze data from any source and provide valuable insights. Artificial intelligence text analysis allows machines to organize and "understand" human communication. Artificial intelligence data analysis tools make analyzing unstructured data surprisingly simple and code-free.

Februar 4, 2024
Who do we look up to?
Deepnote have done a great analysis of our workspace competitors' features. We have a lot to strive for and we want to find out what our users are currently interested in in the first place. What features are not so popular and necessary anymore, what we would like to use in the future?

Februar 1, 2024
What is VARD?
Hi. We're a collaborative analytics startup and we want to make a user-friendly workspace. There are quite a few different applications for different stages of working with data and sometimes it complicates the work and leads to data loss - catastrophic data loss. We want to help teach how to work with data and simplify workflows so that everyone can make data-driven decisions, which is very important in the 21st century. We will walk with you step by step towards our common goal. Join our blog!

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