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Data Analytics News
Medium
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Why You Should Care About Data Privacy (Even If You Think You Have Nothing to Hide)
- Data privacy is about control, consent, and safety, not secrecy or hiding things.
- In the era of digital breadcrumbs, every click, swipe, search, and scroll adds to a data profile.
- Your phone tracks your location, activities, and it can be used in unexpected ways.
- Protecting your data is important for maintaining your digital self-respect and taking back control.
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Cloudblog
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AI and BI converge: A deep dive into Gemini in Looker
- Gemini in Looker combines AI with traditional Business Intelligence (BI) tools to democratize data insights within organizations, making data exploration more intuitive and accessible.
- Gemini in Looker aims to enhance productivity for analysts and business users by simplifying data preparation, dashboard building, and report generation.
- Key features of Gemini in Looker include Conversational Analytics for natural language data queries, Automatic Slide Generation, Formula Assistant for calculated fields creation, LookML Assistant, and Advanced Visualization Assistant.
- The LookML semantic modeling layer in Looker ensures AI accuracy by providing context for data comprehension and centralized metric definitions, reducing data errors in AI queries significantly.
- Gemini in Looker prioritizes data privacy and does not store customer prompts without permission, maintaining trust and compliance with data governance regulations.
- Looker's agentic AI architecture powers intelligent BI, providing the foundation for Conversational Analytics API and multi-turn question answering.
- The roadmap for Looker includes new offerings like Code Interpreter for Conversational Analytics, Conversational Analytics API, Agentspace, and Automated Semantic Model Generation with Gemini.
- By integrating Google's Gemini models with Looker's analytics capabilities, Gemini in Looker enables organizations to unlock actionable insights and make informed decisions, transforming the future of AI-powered BI.
- Gemini in Looker signifies a significant step in revolutionizing AI/BI convergence, empowering users to move from data understanding to decision-making efficiently.
- To learn more about Gemini in Looker and its impact on transforming data utilization and decision-making processes, visit the Google Cloud website.
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Inkbotdesign
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How Content Marketing Helps You Build a Trusted Brand
- Content marketing is crucial for building trust in today's market saturated with advertising messages, as trust is essential for customer loyalty and advocacy.
- Understanding the audience, creating valuable content, and focusing on problem-solving rather than direct selling are key aspects of effective content marketing for trust-building.
- Consistency in publishing, quality, brand voice, and visuals contributes to credibility, while different types of content such as educational, user-generated, and behind-the-scenes content foster trust.
- Strategic content distribution through various platforms and channels like email and social media is vital in ensuring the target audience engages with trust-building content.
- Tracking trust indicators like returning visitors, time on page, comments, and social shares, coupled with setting realistic timeframes for trust development, are crucial for measuring the impact of trust-building content.
- Challenges such as maintaining quality while scaling content production, breaking through content saturation, and balancing value-driven and promotional content need to be addressed to succeed in content marketing.
- Real-life success stories of small businesses and brands turning customers into advocates highlight the effectiveness of trust-building strategies through content marketing.
- Future trends in content marketing suggest embracing new formats, focusing on values-based content, and taking practical steps like auditing existing content to enhance trust in brands.
- Small businesses can compete with larger companies by leveraging their authenticity, expertise, and community connections to create unique and trust-building content.
- In the dynamic landscape of content marketing, mastering authenticity with AI integration and creating personalised, innovative content will be crucial for brand success.
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Medium
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GPT-4.1 just PERMANENTLY transformed how the world will interact with data
- OpenAI released the GPT-4.1 series, outperforming previous models in various aspects including coding and instruction following.
- GPT-4.1 offers models such as GPT‑4.1, GPT‑4.1 mini, and GPT‑4.1 nano with improved performance capabilities.
- In a test involving SQL query generation for financial analysis, GPT-4.1 showed remarkable success rates and efficiency.
- Cost-performance balance comparison reveals GPT-4.1's premium price point but exceptional performance.
- The advancements in GPT-4.1 have significant implications for automating complex data-driven tasks, especially in SQL query generation.
- This model greatly enhances productivity and accuracy, making financial analysis more accessible to a wider audience.
- Quality of underlying data is emphasized for precise financial analyses while leveraging reliable sources like EOD Historical Data is recommended.
- GPT-4.1's effectiveness in SQL generation opens up opportunities for professionals across industries through natural language interactions.
- NexusTrade offers access to advanced AI models for financial analysis, simplifying complex queries and leveling the playing field for diverse users.
- The democratization of specialized skills through AI poses both challenges and opportunities for professionals in various sectors.
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Medium
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Car Sales in India — 2024 | My First Power BI Project
- This interactive dashboard provides key insights on car sales in India. It was created using Microsoft Excel and Power BI Desktop.
- The project aimed to challenge the creator to build something end-to-end and tell a data-driven story.
- The dashboard highlights the importance of data structuring and the power of visual storytelling.
- The creator plans to continue building dashboards, improving DAX skills, and exploring more real-world datasets.
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Medium
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How to Create a Guided Tour Help Button in Power BI
- Developers can create a guided tour help button in Power BI for shared reports.
- The help button can act as a refresher and provide navigation tips for viewers.
- The guided tour is implemented using bookmarks in Power BI.
- To add a help button, navigate to Insert → Buttons → Help and place it on the report.
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15 Likes
Medium
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343
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Why Your Survey Feels Long (Even If It Isn’t)
- People perceive survey length based on the effort it feels like, not just the question count.
- Including unnecessary fields adds friction and causes hesitation in survey respondents.
- Group similar types of questions together to create smoother transitions in the survey.
- Start with quick wins such as yes/no or multiple-choice questions before requesting text input in surveys.
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Gritdaily
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Driving Real-Time Decision-Making: Varun Sharma’s Impact on Data Analytics and Forecasting in Tech
- Varun Sharma, Engineering Product Manager at Cisco, enables businesses to make rapid decisions through advanced analytics.
- Sharma's work has transformed Cisco's Compute division, optimizing business decisions and improving supply chain planning capabilities.
- Under Sharma's direction, Cisco Compute developed local data processing systems, reducing business planning time and setting a standard for other companies.
- Sharma advanced predictive analytics by implementing faster planning tools and automated operational systems.
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Medium
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242
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Comprehensions, Map, and Lambda Concepts in Python
- Lambda functions are anonymous (unnamed) functions in Python that provide a concise way to define simple functions.
- The map() function applies a given function to all items in an iterable (like a list). It returns a map object, which can be converted into a list.
- List comprehensions provide a concise way to create lists.
- You can perform more complex operations by using if-else inside a list comprehension.
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Medium
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How to Handle Unseen Data with One-Hot Encoding in Machine Learning
- This error occurs because your test data contains categories that weren’t present in the training data.
- One-hot encoding is a method used to convert categorical variables into a format that can be provided to machine learning algorithms.
- One-Hot Encoding transforms each category of a feature into a binary column (0 or 1).
- handle_unknown=’ignore’ can be used in OneHotEncoder from scikit-learn to handle unseen categories gracefully.
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Medium
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426
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Why Your SaaS Dashboard Is Overwhelming Users (And How to Fix It)
- Users often find SaaS dashboards overwhelming with excessive data and functionalities.
- To fix this, prioritize key actions, implement progressive disclosure, and provide role-based views.
- Annotate data, add goal benchmarks and use plain language to make it more user-friendly.
- Include a tutorial, tooltips, and celebration of wins to enhance user experience.
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25 Likes
TechBullion
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Balancing Innovation and Ethics in Advanced Data Analytics
- The ethical implications of advanced analytics are more significant than ever in the age of data-driven decision-making across industries.
- Organizations must adopt privacy-preserving techniques to maintain user trust, such as decentralized data architectures and anonymization methods.
- Challenges in data analytics include biased algorithms, which can be addressed through bias detection frameworks and fairness-enhancing algorithms.
- Transparency in data collection and usage is critical for maintaining public confidence, along with the establishment of dedicated data ethics committees to align with ethical and regulatory standards.
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Cloudblog
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270
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Next 25 developer keynote: From prompt, to agent, to work, to fun
- The developer keynote from the Google Cloud Next event was focused on using AI to remodel a kitchen, showcasing the use of generative AI and Gemini models to suggest designs and materials.
- The keynote highlighted the importance of prompts and agents in AI queries and demonstrated tools like Vertex AI and Agent Development Kit (ADK) that simplify the process of building AI agents.
- Developers were shown how to create multi-agent ecosystems for complex tasks like kitchen remodeling, deploying them with Vertex AI Agent Engine for effective management.
- New advancements such as ADK support for Model Context Protocol and Cloud Assist Investigations were introduced to streamline agent development and diagnostics.
- Gemini models like 2.5 Pro and Model Garden were showcased, along with various IDE options, empowering developers to choose tools that suit their preferences.
- The keynote also featured projects like analyzing pitching techniques in baseball using AI, transforming raw data into sales forecasts, and utilizing specialized agents for different data tasks.
- Exciting tools like the Gemini Code Assist Kanban board were introduced to automate tasks, streamline development processes, and allow developers to focus on creative work.
- The demonstrations emphasized the power and versatility of AI, along with the convenience of tools like Gemini models and Vertex AI services for developers.
- The keynote wrapped up by encouraging developers to explore the full presentation for a deeper understanding of the innovations showcased during the event.
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Cloudblog
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266
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Accelerate your analytics: New Bigtable SQL capabilities drive real-time insights
- Bigtable, Google Cloud's NoSQL database, offers real-time insights for massive-scale applications like YouTube and Ads.
- Continuous materialized views expand Bigtable's SQL capabilities, enabling real-time application backends using SQL syntax.
- Bigtable SQL interface is now generally available, enhancing accessibility and streamlining development for various use cases.
- Customers like Augment and Equifax are leveraging Bigtable's SQL capabilities for improved workflows and efficiency.
- Preview functionalities in Bigtable's SQL language include GROUP BYs, aggregations, and structured row keys for data manipulation.
- Continuous materialized views in Bigtable enable real-time aggregation and analysis across various applications.
- Ecosystem integrations like Apache Kafka Bigtable Sink and Apache Flink Connector enhance data streaming and analysis capabilities.
- The launch of Bigtable CQL Client allows developers to migrate applications from Apache Cassandra to Bigtable with ease.
- BigQuery continuous queries, Bigtable CQL Client, and ecosystem integrations offer streamlined real-time analytics with familiar tools.
- The convergence of NoSQL and SQL power in Bigtable empowers developers to leverage SQL for real-time analytics and insights.
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Cloudblog
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280
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Looker adds AI-fueled visual, conversational data exploration, continuous integration
- Looker introduces powerful AI capabilities and enhanced reporting experience at Google Cloud Next '25, built on a trusted semantic model.
- Users can now utilize conversational analytics and Google's Gemini models, along with a new reporting interface within Looker.
- AI-driven insights, hidden pattern identification, and predictive capabilities empower users across organizations, reducing data team burdens and enabling focus on strategic work.
- Looker's semantic layer combined with Google's AI provides intelligent insights and automation for data-driven decision-making.
- Gemini in Looker offers conversational analytics, visualization assistant, automated slide generation, and more to simplify data analysis.
- The Conversational Analytics API allows embedding natural language queries into custom applications or workflows for advanced analytics.
- Looker reports enhance data storytelling, exploration, and connectivity, offering drag-and-drop interface, collaboration capabilities, and broad data source access.
- The new reporting environment integrates seamlessly with Gemini in Looker for leveraging conversational analytics.
- Continuous integration in Looker, post-acquisition of Spectacles.dev, streamlines testing and validation processes, ensuring data trust and reliability.
- These advancements signify a substantial progress in delivering an AI-for-BI platform, facilitating easy access to trusted insights and fostering a data-driven culture.
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