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Data Analytics News
Medium
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84
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Identifying Time Delays in Batch Manufacturing for Accurate Anomaly Detection
- Adjustments to kiln temperature are required to alter glass viscosity in batch manufacturing.
- These adjustments introduce delays in the system, making anomaly detection challenging.
- Cross-correlation analysis is used to detect time delays and synchronize process temperatures.
- Integrating domain knowledge and handling delays accurately is crucial for effective anomaly detection.
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Medium
4d
287
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Harmonizing Data: Insights into Music Store Operations through Data Analysis
- The article discusses a project in which a multinational music streaming service sought to optimize its operations and marketing strategies through data analysis.
- The company had various questions it wanted answered, including exploring employee hierarchy, analyzing invoices across countries, identifying significant revenue streams, and more.
- Data analysis revealed Madan Mohan as the most senior employee and the United States as the country with the highest number of transactions.
- In Prague alone, the company saw a total invoice amount of $273.24 and identified František Wichterlová as their most valued customer, having spent $144.54.
- Additionally, a list of rock music enthusiasts emerged from the database, the most prominent rock bands were recognized, and the top customers by country were identified.
- Based on these insights, the article recommends that the music store can optimize its operations, enhance customer satisfaction, and achieve improved business performance and growth.
- The author suggests that additional exploration could lead to further insights regarding customer behavior, market dynamics, and revenue distribution.
- Understanding the distribution of sales across different cities enables businesses to strategically target marketing efforts and allocate resources effectively to maximize revenue and customer engagement.
- Recognizing and rewarding top-spending customers is crucial for nurturing customer loyalty and driving business growth.
- From the rock anthems of Australia to the alternative beats of Argentina, each country’s musical landscape reflects its unique blend of culture and identity.
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Medium
4d
109
Title: Modernizing Data Management: Introducing YData Fabric
- YData Fabric is a robust ecosystem for data management that simplifies the creation, organization, and deployment of large-scale data environments.
- Key features include unified data management, scalability and performance, data governance and security, and advanced analytics and machine learning integration.
- YData Fabric empowers data scientists with tools like ydata-profiling for effective dataset understanding and profiling, and ydata-synthetic for generating realistic yet anonymized datasets for testing and development purposes.
- Overall, YData Fabric is a comprehensive solution that enables organizations to leverage their data assets fully, drive innovation, and maintain a competitive edge.
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Medium
4d
182
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Sales Analysis Portfolio Project: Insight into FMCG Retail Industry
- This project involves analysis of a comprehensive dataset from the FMCG retail industry, including sales records and buyer demographics.
- The objective is to align sales performance and employee satisfaction by developing a data-driven strategy.
- Key performance indicators include workforce training, integration of data sources, and actionable insights.
- The project provides deep insights for optimizing retail operations and driving business success.
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Siliconangle
4d
340
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Business intelligence startup Sigma closes $200M round at $1.5B valuation
- Business intelligence startup Sigma has raised $200 million in a Series D funding round led by Spark Capital and Avenir Growth Capital.
- The funding values Sigma at $1.5 billion, a 60% increase compared to its previous valuation.
- Sigma provides a business intelligence platform that allows companies to analyze and visualize data in cloud data warehouses.
- The funds raised will be used to enhance platform integrations with generative AI models and expand presence in the US and international markets.
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Medium
4d
153
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Analyzing Software Engineering Job Market
- Advanced degrees significantly boost job prospects for software engineers.
- Relevant work experience is crucial for increasing job opportunities and salary potential.
- Major tech hubs like Silicon Valley and New York City offer competitive salaries for software engineers.
- Aspiring software engineers should prioritize advanced education, relevant experience, and strategic job location choices.
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Medium
4d
174
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Beyond the Cloud: How Federated Learning Powers Privacy in Analytics
- Federated learning is a machine learning technique that enables models to be trained on decentralized devices without exchanging data.
- It enhances privacy by sending the model to each device, where it learns from local data and only sends model updates to a central server.
- Federated learning addresses privacy challenges in centralized models and has potential applications in healthcare and other sectors.
- It enables collaborative model training while safeguarding privacy and fostering innovation.
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Cloudblog
4d
324
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No work items left unturned: How Dataflow mitigates stragglers
- Dataflow has announced three new features for its fully-managed streaming analysis service; i.e., straggler detection, slow worker auto-mitigation, and hot key detection.
- Stragglers, or tasks that significantly take longer to complete, can cause increased latency, higher costs, and reduced throughput in data processing pipelines.
- Dataflow helps users in dealing with stragglers by providing detailed in-context tooling, root-cause analysis, and auto-mitigation through proactive load balancing and fixing unhealthy nodes.
- The new straggler detection feature allows identifying detected stragglers and diagnosing the problem. Dataflow analyzes stragglers to identify the root cause for preventing future stragglers.
- Dataflow now has a new hot key detection feature that identifies the hot key, which is a key representing more elements than other keys in the PCollection).
- Auto-mitigation is the best solution against stragglers, and Dataflow's dynamic work rebalancing system can help prevent them. Its slow worker auto-mitigation feature automatically mitigates stragglers that are caused by slow workers.
- Dataflow's new features enable users to minimize stragglers' impact, maintain precision and completeness, and not leave any shard behind for better-predicted processing pipelines.
- To know more about troubleshooting stragglers in Dataflow, visit the guides published by Google Cloud.
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Medium
4d
360
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Leveraging Data Insights for Strategic Business Growth: A Power BI Case Study
- The objective of the case study was to gain deeper insights into sales trends, customer behavior, and potential market opportunities.
- The focus areas included identifying top revenue generating countries, nurturing high-value customers, and formulating expansion strategies based on revenue trends.
- The analysis conducted using Power BI unearthed valuable insights for guiding future business strategies.
- The data-driven approach using Power BI has yielded actionable insights that can shape future business strategies and drive growth.
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Siliconangle
4d
16
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Transforming data into insights: West Monroe and Alteryx’s collaborative edge
- Data analytics platforms are transforming business operations, enabling companies to make faster, more informed decisions.
- West Monroe LLC, in partnership with Alteryx Inc. and Databricks Inc., provides data-driven solutions to clients, allowing them to process larger amounts of data faster.
- The collaboration with Alteryx has transformed West Monroe's business analysts into resident data scientists, providing insights and competitive advantages to clients.
- By leveraging data and artificial intelligence technology, West Monroe's clients can set concrete goals and align their organizations for growth.
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Pymnts
4d
93
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Walmart’s Luminate Data Platform Goes International
- Walmart Luminate, the retailer’s insights solution, is being rolled out worldwide.
- Walmart’s data analytics product suite will be expanded to Walmex in Mexico before being offered by Walmart Canada later this year.
- Walmart Luminate has successfully optimized retail strategies for suppliers of all sizes.
- Walmart's insights are derived from the shopping habits of American households and online shoppers.
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Medium
4d
194
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Python(Data Visualization with Pandas) : Part 2. Deeper into Bar Graphs and Histograms.
- A bar graph is a type of graph that uses vertical or horizontal bars to show comparisons between categories.
- A vertical bar graph can be used to display sales and expenses by month.
- A horizontal bar graph is an alternative orientation for comparing data between categories.
- A histogram is a type of graph that depicts the frequency distribution of a data set within a range or interval.
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Medium
4d
126
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Built my first project on PowerBi using Superstore Dataset
- This project is a comprehensive data analysis of the Superstore dataset, aimed at uncovering trends, patterns, and insights into sales and transactions.
- The dataset spans multiple years, regions, and categories, providing a rich source of information for business intelligence and strategic decision-making.
- Key findings include peak sales in November, Tuesday as the highest sales day, and California leading in sales.
- Recommendations include seasonal marketing campaigns, optimized sales strategies, and resource allocation to drive growth.
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Silicon
4d
170
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Business Intelligence: Next-Generation Data Analytics
- The next generation of business intelligence will revolutionize how businesses operate, innovate and thrive in the digital age. Powered by advanced analytics, machine learning, and artificial intelligence (AI), the new breed of BI empowers businesses to anticipate trends, identify opportunities, and mitigate risks with unprecedented speed and accuracy. Advanced analytics, which enables businesses to extract meaningful insights from complex and diverse datasets, lies at the heart of next-gen BI powered by predictive modelling to prescriptive analytics. The new BI’s role in organizations is to democratize data, making it understandable and easy for everyone. Companies must overcome the challenge of data quality and governance to harness the benefits of the next-generation BI. Furthermore, for companies to gain tangible benefits, they must invest in data governance frameworks, AI strategies, and focus on data literacy to equip employees with the skills to leverage data effectively. The role of machine learning and AI in next-generation data analytics holds the key to breaking down silos, automating tedious tasks like data cleansing and freeing data teams for more strategic endeavors.
- The rush to adopt AI can lead to solutions that need more user experience. Fear of hallucinations shows the degree to which AI must be governed and AI-generated content appropriately labelled. Additionally, businesses must foster a culture of data-driven decision-making. With a clear understanding of the desired goals and outcomes, companies can avoid getting caught up in the novelty of AI and losing sight of their core business goals. The democratization of data is playing a vital role in transforming BI data visualization from static charts to interactive experiences. AI-powered dashboards that highlight anomalies will become commonplace, and visualizations will enhance storytelling through data and seamlessly integrate with narratives. Some examples of companies that have successfully leveraged next-gen data analytics to gain a competitive advantage are EasyJet Holidays, Electronic Arts, OVO Energy, and Matillion.
- Companies must focus on improving data and AI literacy within their workforce while fostering a culture of data-driven innovation and collaboration. Advanced analytics techniques allow organizations to move beyond descriptive analysis and into predictive and prescriptive decision-making. As complexity and volumes of data continue to grow, demand for self-service BI solutions is rising, empowering business users with the tools to explore data, create visualizations, and generate insights. The next generation of BI goes beyond mere reporting to deliver dynamic, actionable insights in real-time, driving innovation and propelling businesses into the data-driven era. Cloud software companies like Matillion realized an 80% reduction in report requests after implementing self-service data analytics platforms like ThoughtSpot. GenAI automates tedious tasks like data cleansing and report generation, freeing up valuable time for higher-level analysis and improved decision-making.
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Medium
4d
358
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Mastering QQ Plots: A Data Scientist’s Secret Weapon
- The QQ plot is a graphical method for determining if a dataset follows a certain probability distribution or whether two samples of data came from the same population or not.
- It is used to check if the data follows a normal distribution.
- The QQ plot compares the theoretical quantiles of a distribution with the actual data quantiles.
- Additional statistical tests, such as the Kolmogorov-Smirnov test, should be conducted to confirm normality.
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