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Data Analytics News
Medium
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How AI Took Over My Office Data Analysis (And Made My Life Easier!)
- An individual shares their experience of completing a data analysis project using AI.
- First task: Calculating revenue earned by each provider based on payment methods.
- Second task: Counting distinct encounters using patient ID, Date of Service, and provider's name.
- The author hints at a future part 2 of their professional data analysis series.
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Medium
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The Fascinating World of Plants.
- Plants play an important role in maintaining the balance of nature.
- They provide oxygen, food, medicine, and habitat for numerous species.
- Plants can be classified into non-vascular plants (bryophytes) and vascular plants.
- Vascular plants have well-developed vascular tissues for transport.
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Medium
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PowerDrill AI: Best Data Analysis Tool for 2025 Insights
- PowerDrill AI is a user-friendly platform powered by artificial intelligence that simplifies data analysis and visualization without requiring technical expertise.
- In 2025, the importance of data-driven decision-making emphasizes the need for accessible tools like PowerDrill AI that offer fast and accurate insights.
- PowerDrill AI employs natural language processing, machine learning, and data visualization to streamline the data analysis process.
- The platform eliminates the need for coding, allowing users to interact with data in plain English and generate visually appealing charts and graphs.
- Features of PowerDrill AI include handling various data sources, real-time data processing, effortless report exporting, and customizable settings.
- PowerDrill AI caters to a diverse user base, from novices to professionals, offering sophisticated insights in a user-friendly package.
- The AI-powered platform excels in providing real-time analysis and predictive capabilities to stay competitive in the data analysis landscape.
- Users can benefit from PowerDrill AI across various fields, from e-commerce to marketing, by quickly extracting valuable insights from their data.
- Pros of PowerDrill AI include its simplicity, power, and AI-driven capabilities, outweighing any potential cons for users seeking efficient data analysis.
- PowerDrill AI empowers users to make informed decisions by transforming data into actionable insights, marking a shift in how data is utilized.
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Medium
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B2C SaaS Cohort Analysis
- The analysis revealed strong retention patterns that can be replicated, but gaps in longterm profitability.
- Flowlytics is a B2C SaaS platform that helps freelancers, solopreneurs, and small businesses streamline their financial workflows.
- The dataset contains 225 rows of subscription data spanning July 2022 to June 2023.
- The key findings are weak retention in some cohorts and the need for smarter spending decisions for long-term profitability.
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Medium
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Into the Crystal Ball: Quick & Dirty Time Series Forecasting with Python
- In the business world, predicting the future is crucial for meeting goals and making strategic decisions, even without the resources of a Data Scientist.
- Time series forecasting can be done efficiently using data analysis and critical thinking, even without specialized resources.
- By utilizing time series data and unique identifiers, one can generate forecasts to aid in business decision-making.
- In the provided scenario, user registration records are used to estimate future new user acquisition trends.
- Data preprocessing involves converting timestamps into calendar days and selecting a relevant time window for forecasting.
- Using the Prophet library for forecasting, predictions can be made with confidence intervals for future new user registrations.
- Positioning forecasts as a range rather than exact values enhances credibility and allows for better decision-making.
- Converting model outputs into plain language helps communicate insights effectively to stakeholders.
- Forecasting can inform resourcing decisions, product roadmap adjustments, and provide insights into user behavior for strategic planning.
- Agile forecasting approaches like this one offer simplicity, efficiency, and effectiveness in time-sensitive business environments.
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Medium
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DatasphereAI: Illuminating your data universe
- DatasphereAI is a startup aimed at simplifying data interaction and visualization through AI, created by an experienced professional in the Data/AI field.
- The application is currently in the prototype stage and offers features like automatic data visualization, natural language interaction, and AI-powered data exploration.
- Users can generate dashboards by uploading data files, interact with visualized data through a chat feature, and explore datasets with AI-generated visualizations based on questions.
- DatasphereAI extracts metadata from various data sources for efficient information retrieval, enabling users to search through extracted information using filters and create dashboards for specific categories.
- The application also allows users to define attributes for specific data categories, interact with their data using AI agents, and execute complex tasks via natural language commands.
- Users can visualize information, ask questions, and analyze data using AI agents in a conversational manner, enabling a deep exploration of data sources.
- Datasphere AI is at an early stage and seeks collaborators and supporters to further develop and enhance its capabilities in revolutionizing data interaction and understanding.
- The application aims to simplify complex data tasks and invites interested parties to explore its features for potential business benefits.
- The blog post hints at future technical insights into Datasphere AI, promising continued innovation and advancements in the data universe.
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VentureBeat
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Inside Broadcom’s data simplification strategy that enables 26 business units to use the same data analytics platform
- Broadcom faced a challenge of integrating disparate data sources and systems as it acquired numerous companies.
- Instead of traditional approaches, Broadcom wiped the slate clean to simplify its data landscape.
- Broadcom standardized on one data analytics platform from Incorta across all its business units, including VMware.
- The company deprecated every application at VMware to consolidate data management on a single platform.
- Broadcom focused on cleaning data at the source rather than transforming it later in the process.
- The company evaluated multiple data analytics tools and chose Incorta to unify and standardize its data operations.
- Incorta's flexibility in segmenting data access has been crucial for Broadcom's diverse business units.
- Broadcom is set to benefit from AI and automation updates with Incorta's Nexus for improving access to data.
- Broadcom emphasizes prioritizing data integrity before leveraging advanced AI capabilities.
- Broadcom's simplified data approach offers key lessons for enterprises on managing complexity through ruthless simplification.
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Medium
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A New Era in Data Access: LLMs as Your Data Co-Pilots
- Companies like Uber, Merck, and leading manufacturers are leveraging AI language models (LLMs) to free up their data teams’ bandwidth, saving thousands of hours per month.
- The LLMs act as data 'co-pilots' by generating SQL queries from plain English, reducing bottlenecks and enabling faster decision-making.
- By integrating LLMs into dashboards or BI tools, companies can reduce the manual overhead of routine SQL tasks, allowing analysts to focus on more complex analyses.
- While LLM-powered SQL co-pilots redefine data accessibility and offer productivity gains, accuracy, security, and human oversight remain crucial.
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Medium
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The Gentle Guide to Data Analysis You Never Knew You Needed
- Data analysis is the process of looking at raw data to understand it better.
- A data analyst is responsible for acquiring, cleaning, manipulating, and analyzing data.
- Excel is a popular tool for beginners in data analysis.
- Documenting the process and progress is important for tracking and celebrating achievements in data analysis.
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Hackernoon
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The HackerNoon Newsletter: Vibe Coding - A New System of the World (3/9/2025)
- Discover how data visualization transforms raw data into actionable insights for tech companies, driving better decisions and competitive advantage. Read More.
- Maruti Techlabs automated policy data management for HealthPro Insurance, improving efficiency, reducing manual effort, and enhancing data accuracy. Read More.
- An article about software engineers in a post-AI world, Vibeware and embracing ourselves Read More.
- Is the rise of vibe coding also the end of software engineering? How will vibeware change the nature of the software entrepreneur, and the meaning of work? Read More.
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Medium
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Structured loading: Universal data access and interaction
- Structured loading is pivotal to Uncountable's product differentiation, offering an expressive data model for structured experiment information.
- It abstracts data access and utilizes common filter expressions, with a focus on avoiding redundant code.
- The system introduces stores for each entity type, mapping to database tables and describing table columns.
- These stores enable various features such as generating SQL queries, presenting form fields, and supporting filters.
- Custom loaders are employed for cases where direct modeling is challenging, enhancing the system's flexibility.
- The naming system facilitates entity relationships and seamless navigation between data entities.
- The structured loading system complements the id-source system, automating naming conventions based on essential fields.
- Generic forms, integrated with structured loading, offer enhanced flexibility in displaying and editing data.
- The evolution of the system has led to unified concepts, reducing redundant code and enhancing overall system efficiency.
- Structured loading continues to evolve, empowering developers to leverage its capabilities for efficient data management and exploration.
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TechBullion
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Top 5 Presales of 2025: Early Bird Opportunities You Can’t Miss
- InfiBis is leading the charge in transforming global business operations through AI-driven data analytics and blockchain-backed financial solutions.
- Top presales of 2025 include InfiBis, Solaxy, MIND of Pepe, Wall Street Pepe, and Best Wallet.
- InfiBis offers the InfiX token presale, providing early investors with up to 800% ROI.
- Other presales explore topics such as layer 2 solutions, meme-based content, finance and meme culture, and secure cryptocurrency storage.
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Cloudblog
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Get Salesforce insights in BigQuery for unified analytics powered by Datastream
- Salesforce Data Cloud (SFDC) is a commonly used SaaS application that provides a comprehensive view of customer interactions and sales activities.
- Google Cloud has expanded its Datastream service to support Salesforce as a source, simplifying the extraction of data from Salesforce and delivering it to BigQuery and other destinations.
- Datastream offers low-latency replication, scalability, and reliability, while being fully managed, eliminating the need to manage infrastructure.
- Integrating Salesforce data with Datastream allows businesses to gain deeper insights, improve accuracy, and streamline data pipelines for analysis in Google Cloud.
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Designveloper
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What Is Big Data Analytics and How It Useful for Business?
- Big Data analytics involves the systematic use of computers to analyze large amounts of data from various sources to spot hidden patterns or trends.
- Big Data is characterized by the three Vs: volume, velocity, and variety, with additional Vs like Variability, Veracity, and Value.
- Big Data Analytics comprises nine stages, starting from business case evaluation to using analysis results to make informed decisions.
- There are four types of Big Data Analytics: Descriptive, Diagnostic, Predictive, and Prescriptive Analytics.
- Businesses utilize Big Data Analytics to increase customer satisfaction, enhance work efficiency, and reduce costs.
- Companies like Shopee and Google use Big Data Analytics to optimize services, make tailored suggestions, and understand user behavior.
- The growing importance of Big Data Analytics has led to an estimated market value of $90 billion by 2025.
- The adoption of AI/ML in Big Data Analytics helps automate data manipulation processes and analyze both structured and unstructured data.
- Data-related jobs like data analysts and data scientists are in demand worldwide, offering attractive average salaries.
- Understanding Big Data Analytics and honing relevant skills are crucial for businesses to leverage this gold mine of information effectively.
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Medium
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It’s Getting Overwhelming… Are Honkai Star Rail Players Feeling Burnout?
- Many Honkai Star Rail players are experiencing burnout, feeling like the game has turned into an obligation rather than entertainment.
- Players engage in gacha-style gameplay, which involves spending in-game currency to obtain characters or items.
- Opinions among players regarding the game's enjoyment vary, with some expressing fatigue and burnout while others remain engaged.
- A study delved into player sentiment, highlighting aspects like character design and storytelling as initial draws to the game.
- Players feel varying levels of pressure related to the meta, power creep, and constant need to build the best team, leading to burnout.
- A survey revealed that frequent character releases and pressure to pull for meta characters contribute to player burnout and reduced motivation.
- Despite experiencing exhaustion and frustration, players still show interest in the game, suggesting improvements rather than abandonment.
- A downward trend in revenue may indicate players becoming more selective in spending, raising concerns about the game's long-term sustainability.
- Addressing issues like character release pace and farming system efficiency could help maintain player engagement and enjoyment.
- The study acknowledged limitations in sample size but provided insights into factors impacting player burnout and motivations.
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