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Data Analytics News
Medium
2d
186
Image Credit: Medium
Unit Testing in Python: A Practical Guide to Writing Reliable Code
- Unit testing involves testing the smallest parts of your code, such as functions, methods, or classes, in isolation.
- The unittest module uses the TestCase class as the foundation for writing tests.
- Unit testing is a critical skill for Python developers, enabling you to write reliable, maintainable code.
- Start incorporating unit tests into your projects today, and watch your code quality soar!
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TechBullion
2d
127
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Data Analytics Companies in The USA
- Data Analytics services in the USA are on the rise, with businesses leveraging data to predict trends and make informed decisions.
- Key players in the market include A-listware, a London-based IT outsourcing company with additional centers in Ukraine, Poland, and Romania.
- Teradata, headquartered in San Diego, specializes in cloud database and analytics software, assisting clients across industries with data integration and analysis.
- InData Labs, based in Cyprus, offers data science and AI solutions for companies seeking to extract valuable insights from large datasets.
- Indium, located in California, focuses on digital engineering and artificial intelligence, providing tailored solutions for enterprises.
- Itransition, an international IT company with headquarters in the USA, offers comprehensive digital transformation services, including cloud solutions and business analytics.
- ThirdEye Data, headquartered in California, specializes in AI, machine learning, and big data processing, aiding clients in building scalable data systems.
- Alteryx, based in California, develops software for data analytics, with a focus on automating analytics processes for data-driven decision-making.
- Blackburn Labs offers software and data literacy solutions for various industries, including healthcare, education, and real estate.
- Emergent Software, based in Minneapolis, provides software development and IT consulting services to address current business challenges and future demands.
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Medium
3d
87
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Unlocking 10x Revenue Growth with Data Analytics in Gaming
- Data engineers in the gaming industry face a high volume of demands, spending time on SQL, ad-hoc statistics, and exporting data.
- Data governance in gaming is complex, divided into web and client-based games, with challenges in understanding user behavior across different platforms and screen sizes.
- Games require real-time processing capabilities for enhancing player experience and retention, posing challenges for stream computing.
- Issues of task delays and queuing are prevalent in traditional big data teams, impacting business responsiveness.
- Databend focuses on massive data ingestion in real-time to improve business efficiency, emphasizing second-level data ingestion for timely processing.
- Databend simplifies data ingestion by linking directly to object storage, enabling efficient data loading and transformation at high speeds.
- Databend supports various data formats like CSV, TSV, JSON, and offers AI integration, aiming to streamline data processing tasks.
- Databend facilitates real-time processing through Table-level Change Data Capture (CDC) and external UDFs, optimizing data analysis and integration.
- Databend enhances complex JOIN operations, provides SQL IDE for visual query execution plans, and supports advanced data types like Array and Bitmap.
- Databend's storage-compute separation approach offers flexibility, optimized query performance, and support for hybrid cloud scenarios.
- High availability solutions in Databend Cloud leverage object storage replication for data synchronization and easy deployment across multiple data centers.
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Medium
3d
260
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Measuring Design ROI: Quantifying the Impact of UX in Large Organizations
- To connect design improvements to business outcomes, it's crucial to translate them into metrics that resonate with decision-makers.
- Design ROI involves aligning user experience metrics with business strategies that interest executives.
- Understanding the metrics that matter most to an organization is the foundation for measuring design impact.
- Revenue, efficiency, engagement, and strategic metrics are key areas to focus on when quantifying design ROI.
- Gathering data before implementing design changes is essential to demonstrate improvements.
- Articulating how design decisions impact key business metrics requires research and data-driven predictions.
- Design ROI can be measured across immediate, medium-term, and long-term impacts to track outcomes over time.
- Strategic communication of results plays a crucial role in presenting design ROI effectively.
- Qualitative elements like customer narratives, competitive positioning, and innovation potential complement quantitative data for a complete understanding of design impact.
- Challenges in measuring design ROI include attribution problems, balancing short-term and long-term thinking, and overreliance on quantitative data.
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Pymnts
4d
307
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80% of Gaming Firms Value Instant Market Data, but Few Have It
- A new report indicates that gaming platforms with dedicated analytics teams and real-time data access experience higher revenue growth compared to those lacking data-sharing policies.
- 95% of analytics-led gaming platforms report revenue growth, significantly higher than other consumer-facing sectors.
- Only 18% of gaming platforms currently have access to real-time market data, despite 80% considering it critical.
- The lack of real-time data is perceived as a cause of inaccurate decision-making and missed business opportunities by 80% of gaming platforms.
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18 Likes
Cloudblog
6d
99
Image Credit: Cloudblog
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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Medium
7d
253
Image Credit: Medium
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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15 Likes
Medium
7d
312
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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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18 Likes
Gritdaily
1w
585
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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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7 Likes
Medium
6h
197
Introducing Signal Over Noise: a blog about data and data teams
- Introducing Signal Over Noise: a blog about data and data teams
- A blog sharing valuable lessons from the experience of building data products and leading analytics teams
- Includes tactical and reflective posts on data analysis, AI technology, and building high-performing analytics teams
- The blog aims to spark ideas and provide insights for those in the world of analytics, data engineering, or business intelligence
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11 Likes
Medium
5d
316
Image Credit: Medium
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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19 Likes
Inkbotdesign
6d
392
Image Credit: Inkbotdesign
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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23 Likes
Medium
7d
298
Image Credit: Medium
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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17 Likes
Medium
7d
228
Image Credit: Medium
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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13 Likes
Medium
1w
221
Image Credit: Medium
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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