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Geeky Gadgets
5 days ago
- Geeky Gadgets
This Excel Trick Will Change How You Use Formulas Forever
Have you ever stared at a tangled web of Excel formulas, wondering if there's a better way to make sense of it all? For many, Excel's LAMBDA function feels like a cryptic puzzle—powerful but intimidating, promising simplicity while shrouded in complexity. Yet, beneath its seemingly daunting exterior lies a tool that can transform how you work with spreadsheets. Imagine turning your most convoluted formulas into neat, reusable functions that anyone can understand and apply. No VBA, no coding expertise—just a smarter, cleaner way to manage your data. If that sounds like a fantastic option, you're not alone. The LAMBDA function has been hailed as one of Excel's most innovative features, but its potential often gets lost in translation. In this guide, Excel Off The Grid break down the LAMBDA function into simple, actionable steps, showing you how to harness its power without the frustration. You'll discover how to create custom functions that streamline repetitive tasks, reduce errors, and make your spreadsheets more intuitive. From simplifying complex calculations to mastering tools like `SORTBY` and `XMATCH`, this guide will help you unlock the full potential of LAMBDA. Whether you're a seasoned Excel user or a curious beginner, this is your chance to demystify one of Excel's most misunderstood features—and maybe even enjoy the process. After all, who said advanced formulas couldn't be easy? What is the Excel LAMBDA Function? The LAMBDA function allows you to define your own Excel functions by replacing traditional cell references with descriptive placeholders. These placeholders act as variables within your formula, making it easier to understand, reuse, and share. Once defined, the custom function can be saved as a named item and applied across your workbook or shared with collaborators. For instance, if you frequently calculate weighted averages, you can use LAMBDA to create a reusable function. Instead of repeatedly writing the same formula, you define placeholders for the input values and weights. This approach not only saves time but also minimizes the likelihood of errors, making sure accuracy in your calculations. How LAMBDA Works with Sorting Functions Sorting data in Excel often requires combining multiple functions to achieve the desired result. The LAMBDA function integrates seamlessly with tools like `XMATCH` and `SORTBY`, allowing you to organize data based on custom criteria efficiently. XMATCH: This function identifies the position of an item within a list. For example, if you have a priority list such as 'High,' 'Medium,' and 'Low,' `XMATCH` determines the position of each item within that hierarchy. This function identifies the position of an item within a list. For example, if you have a priority list such as 'High,' 'Medium,' and 'Low,' `XMATCH` determines the position of each item within that hierarchy. SORTBY: After `XMATCH` assigns positions, `SORTBY` arranges the data accordingly. This is particularly useful for sorting by non-alphabetical or non-numerical criteria, such as custom priority levels or specific categories. By incorporating these functions into a LAMBDA formula, you can create a custom sorting function that is both reusable and tailored to your specific needs. This eliminates the need to repeatedly configure sorting criteria, saving time and effort. LAMBDA Explained in Simple Terms for 2025 Watch this video on YouTube. Stay informed about the latest in Excel functions by exploring our other resources and articles. Steps to Create a Custom Function with LAMBDA Building a custom function with LAMBDA is a straightforward process that involves three key steps: 1. Replace Cell References with Placeholders: Begin by identifying the variables in your formula. Replace these variables with descriptive placeholders that represent the data inputs. For example, instead of referencing specific cells, use placeholders like `x` or `y` to make the formula more intuitive. 2. Define the Formula Using LAMBDA Syntax: Use the LAMBDA syntax to specify the placeholders and the formula logic. For instance, `LAMBDA(x, y, x + y)` creates a function that adds two numbers, where `x` and `y` are placeholders for the input values. 3. Test the Function: Apply the LAMBDA formula directly in a cell to verify its functionality. Ensure that the formula produces the expected results before proceeding to save it as a named function. These steps allow you to transform complex formulas into reusable tools, simplifying your workflow and reducing the risk of errors. Making Your Custom Functions Reusable Once you've created a LAMBDA formula, you can save it as a named item to make it reusable across your workbook. This process ensures consistency and efficiency, particularly for repetitive tasks. Follow these steps to save your custom function: Open the 'Name Manager' in Excel, which is accessible from the 'Formulas' tab. Create a new name and assign your LAMBDA formula to it. Provide a clear and descriptive name for the function to make it easy to identify and use. Use the custom function by typing its name in any cell and providing the required inputs. The function will execute the logic defined in your LAMBDA formula. By saving your LAMBDA formulas as named items, you can standardize calculations across multiple workbooks and share them with team members, promoting collaboration and consistency. Practical Applications of LAMBDA The versatility of the LAMBDA function makes it applicable to a wide range of scenarios. Here are two practical examples: – Sorting Tasks by Priority: Combine `XMATCH` and `SORTBY` within a LAMBDA formula to create a custom sorting function. Define placeholders for the task list and priority order, then save the formula as a named item. This reusable function can be applied to any dataset requiring similar sorting criteria, saving time and making sure accuracy. – Standardizing Processes Across Workbooks: Named LAMBDA functions can be stored in shared templates or Excel's personal macro workbook. This allows teams to standardize calculations across projects, making sure consistency and reducing the need for repetitive formula creation. These examples highlight how LAMBDA can simplify complex tasks and improve efficiency in both individual and collaborative workflows. Key Takeaways The LAMBDA function transforms how you work with Excel formulas by introducing placeholders and allowing reusability. It simplifies complex calculations, reduces errors, and ensures consistency across workbooks. Whether you're using tools like `XMATCH` and `SORTBY` for sorting or creating entirely new functions, LAMBDA enables you to take control of your Excel workflows. By mastering this feature, you can enhance productivity, streamline data management, and unlock new possibilities for efficient problem-solving. Media Credit: Excel Off The Grid Filed Under: Guides Latest Geeky Gadgets Deals Disclosure: Some of our articles include affiliate links. If you buy something through one of these links, Geeky Gadgets may earn an affiliate commission. Learn about our Disclosure Policy.
Yahoo
5 days ago
- Business
- Yahoo
Quantiphi Achieves Google Cloud Data Management Specialization
MARLBOROUGH, Mass., Aug. 7, 2025 /PRNewswire/ -- Quantiphi, an AI-first digital engineering company, today announced it has achieved the Google Cloud Partner Advantage Specialization in Data Management for demonstrating a strong track record in helping enterprises build scalable, resilient and secure data infrastructure with Google Cloud. This specialization recognizes Quantiphi's proven expertise in helping enterprises leverage Google Cloud's advanced, AI-ready databases and vector stores to modernize legacy data systems like Mainframe DB2, SQL Server, Sybase, Percona, etc. By enabling intelligent, modern applications built on scalable, context-aware architectures, Quantiphi empowers organizations to accelerate time-to-value, reduce operational overhead, enhance data governance and unlock real-time insights that fuel enterprise AI transformation. "We're entering a new era where generative AI is becoming central to how businesses operate and innovate," Quantiphi Practice Leader, Global Strategic Pursuits and Data Cloud, Mohak Moondra said. "To unlock its full potential, organizations need data architectures that are purpose-built for AI—starting with the right database foundation. Google Cloud solutions like Spanner and AlloyDB for PostgreSQL are enabling the shift to AI-native applications, and our Data Management specialization strengthens our ability to help customers build intelligent, context-aware systems from the ground up." This specialization marks the eleventh active Partner Advanced Specialization Quantiphi has received from Google Cloud, including recognition for Machine Learning - Services, Contact Center AI - Services, Marketing Analytics - Services, Generative AI - Services, Data Analytics - Services, Application Development - Services, Infrastructure - Services, Security - Services and Data Analytics Migration - Services. "We are proud to be at the intersection of cloud modernization and AI transformation," Moondra said. "With this specialization, we'll help businesses move from data to decisions faster and more intelligently than ever before." Learn more about Quantiphi's Google Cloud expertise. About QuantiphiQuantiphi is an award-winning AI-first digital engineering company driven by the desire to reimagine and realize transformational opportunities at the heart of business. Since its inception in 2013, Quantiphi has solved the toughest and most complex business problems by combining deep industry experience, disciplined cloud and data engineering practices, and cutting-edge artificial intelligence research to achieve accelerated and quantifiable business results. Learn more at and follow us on Linkedin, X, formerly Twitter and Instagram. Media Contact:H. Newsroom View original content to download multimedia: SOURCE Quantiphi Error while retrieving data Sign in to access your portfolio Error while retrieving data
Yahoo
21-07-2025
- Business
- Yahoo
Teradata Named a Leader in Data Management for Analytics Platforms
SAN DIEGO, July 21, 2025--(BUSINESS WIRE)--Teradata (NYSE: TDC) announced today that Forrester Research has named the Company a Leader in The Forrester Wave™: Data Management For Analytics Platforms, Q2 2025, written by principal analyst Noel Yuhanna with Aaron Katz, Emily Doherty, and Jen Barton, April 14, 2025. The Forrester report evaluated Teradata among 11 Cloud Data Management for Analytics providers and noted that: "Teradata's strong and differentiated vision aims to democratize access to data and AI for all users by continually enhancing its data management capabilities and facilitating a smooth transition to a data fabric architecture. Teradata's roadmap focuses on advancing genAI/LLM, real-time data quality, expanding sharing/collaboration capabilities, and supporting more interactive data visualization." Additionally, the Forrester report states: "Teradata excels in seamless operationalization of workloads because of in-platform analytics, data modeling, transformation, and data integration, by supporting complex environments with cutting-edge tools, extensive data connectors, and prebuilt, industry-specific data models that accelerate insights. It is competitive with other vendors across the board regarding additional capabilities. VantageCloud offers a unified platform that integrates diverse data types and sources, supporting various analytical queries and advanced analytics. Additionally, Teradata offers flexible deployment options, including on-premises, cloud, and hybrid environments, catering to a variety of business needs and data strategies." "We're honored to be named a Leader in The Forrester Wave™: Cloud Data Management for Analytics Platforms. To us, this recognition underscores our commitment to helping enterprises turn data into value—no matter where it lives or how complex the environment is," said Sumeet Arora, Chief Product Officer at Teradata. "What we believe sets Teradata apart is our ability to operationalize AI and analytics at scale with a unified platform that seamlessly integrates diverse data sources, supports real-time insights, and meets organizations where they are—whether on-prem, in the cloud, or anywhere in between. Our mission to deliver harmonized data and trusted AI at scale is driving innovation that enables our customers to make smarter, faster decisions." According to Forrester's market description of the DMA market: "As the demand for real-time analytics continues to grow, businesses require increasingly integrated and automated data management solutions to effectively accelerate use cases. DMA offers a flexible and scalable platform that seamlessly integrates metadata, real-time streaming, transformation, integration, quality, and security and governance capabilities. The modern DMA platform market is undergoing a transformation, driven by advanced automation, built-in data intelligence, and AI-powered data management capabilities, elevating DMA to the next level. Providers recognize generative AI (gen AI) as a transformative force that is helping shape DMA through enhanced automation and intelligence." Teradata believes Forrester's description of DMA platforms aligns with Teradata's open, integrated and flexible approach to data management, and that is why it was positioned as a Leader in The Forrester Wave™: Data Management for Analytics Platforms, Q2 2025. For more information: Read the Forrester Wave™: Data Management for Analytics Platforms, Q2 2025 Learn more about Teradata Vantage and Trusted AI Explore Teradata demos that drive AI innovation Forrester does not endorse any company, product, brand, or service included in its research publications and does not advise any person to select the products or services of any company or brand based on the ratings included in such publications. Information is based on the best available resources. Opinions reflect judgment at the time and are subject to change. For more information, read about Forrester's objectivity here . About Teradata At Teradata, we believe that people thrive when empowered with trusted information. We offer the most complete cloud analytics and data platform for AI. By delivering harmonized data and Trusted AI, we enable more confident decision-making, unlock faster innovation, and drive the impactful business results organizations need most. See how at The Teradata logo and ClearScape Analytics are trademarks, and Teradata is a registered trademark of Teradata Corporation and/or its affiliates in the U.S. and worldwide. View source version on Contacts MEDIA CONTACTS January Sign in to access your portfolio
Yahoo
07-07-2025
- Business
- Yahoo
NetApp and William Blair & Company to Host a Tech Talk on Intelligent Data Infrastructure for AI
SAN JOSE, Calif., July 07, 2025--(BUSINESS WIRE)--NetApp (NASDAQ: NTAP) and William Blair & Company will hold a deep dive tech talk to discuss Intelligent Data Infrastructure for AI with Russell Fishman, Sr. Director, Product Management and Andy Sayare, Director, Strategic Alliances. Following brief opening remarks from NetApp, a question-and-answer session will be moderated by Jason Ader, research analyst at William Blair & Company. Interested parties can find more information on NetApp's Investor Relations website at No new financial information will be discussed during this conference call. Date: Thursday, July 10, 2025Time: 11:00 a.m. Pacific Time / 2:00 p.m. Eastern TimeSpeakers: Russell Fishman and Andy Sayare, NetAppModerator: Jason Ader, William Blair & CompanyWebcast Link: Webinar ID: 881 9664 9049Passcode: 472010 About NetApp NetApp is the intelligent data infrastructure company, combining unified data storage, integrated data, operational and workload services to turn a world of disruption into opportunity for every customer. NetApp creates silo-free infrastructure, harnessing observability and AI to enable the industry's best data management. As the only enterprise-grade storage service natively embedded in the world's biggest clouds, our data storage delivers seamless flexibility. In addition, our data services create a data advantage through superior cyber resilience, governance, and application agility. Our operational and workload services provide continuous optimization of performance and efficiency for infrastructure and workloads through observability and AI. No matter the data type, workload, or environment, with NetApp you can transform your data infrastructure to realize your business possibilities. Learn more at or follow us on X, LinkedIn, Facebook, and Instagram. NETAPP, the NETAPP logo, and the marks listed at are trademarks of NetApp, Inc. Other company and product names may be trademarks of their respective owners. View source version on Contacts Press Contact Kenya HayesNetApp1 703 589 Investor Contact Billie FagenstromNetApp1 408 822 Sign in to access your portfolio
Geeky Gadgets
02-07-2025
- Geeky Gadgets
10 Excel Functions You Should Know According to Harvard :
What if mastering a handful of Excel functions could save you hours each week, eliminate frustrating errors, and even make you the go-to problem solver in your office? It's not just a bold claim—it's a reality for those who know how to unlock Excel's full potential. While many users stick to basic tools like SUM or Copy-Paste, there's a world of powerful, time-saving features waiting to be explored. In fact, some of the most effective Excel functions are so underutilized that even seasoned professionals miss out on their benefits. According to insights from Harvard, these ten essential functions aren't just helpful—they're fantastic for anyone managing data. In this video by Kenji , you'll discover how to harness tools like Flash Fill to automate tedious tasks, use INDEX MATCH for advanced lookups, and use shortcuts that make navigating massive datasets a breeze. Whether you're cleaning up messy spreadsheets, performing complex calculations, or simply trying to work smarter, these functions will give you the edge you need. But it's not just about saving time—it's about gaining control, precision, and confidence in your data management. As you explore these techniques, you might find yourself wondering how you ever got by without them. Essential Excel Functions Guide 1. Paste Special: Customize Your Data Transfers The Paste Special feature allows you to paste specific elements of copied data, such as values, formats, or formulas, giving you greater control over how data is transferred. This is particularly useful when you need to exclude formulas or transpose rows into columns. For example, if you want to copy only the numerical results of a formula without including the formula itself, Paste Special ensures that only the desired values are pasted. Shortcut: Press Ctrl + Alt + V to instantly open the Paste Special menu and customize your data transfer. 2. Adding and Deleting Rows and Columns: Simplify Structural Changes Efficiently managing the structure of your spreadsheet is crucial for maintaining organization and clarity. Excel offers quick shortcuts for adding or deleting rows and columns, which can save significant time when working with large datasets. To insert a new row, select a row using Shift + Space , then press Ctrl + Shift + '+' . , then press . To delete a row or column, select it and press Ctrl + '-' . These shortcuts streamline structural adjustments, making sure your spreadsheet remains well-organized and easy to navigate. 3. Flash Fill: Automate Data Formatting Flash Fill is an intelligent tool that recognizes patterns in your data and automates repetitive formatting tasks. For instance, if you have a column of full names and need to separate first and last names, Flash Fill can complete the task after you provide a single example. This feature is particularly helpful for cleaning up or reformatting data quickly. Shortcut: Activate Flash Fill by pressing Ctrl + E after entering a sample pattern. 4. Index Match: Advanced Data Lookups The combination of INDEX and MATCH functions provides a more flexible and powerful alternative to traditional lookup functions like VLOOKUP or XLOOKUP. Unlike VLOOKUP, INDEX MATCH can search in any direction and handle multi-criteria lookups. For example, you can retrieve a value based on both a product name and a specific date, making it ideal for complex data retrieval scenarios. This function is particularly valuable when working with large datasets that require precise and dynamic lookups. 5. Sum and Aggregate Functions: Handle Errors with Ease While the SUM function is a staple for calculating totals, the AGGREGATE function offers advanced capabilities by managing errors in your data. For example, AGGREGATE can ignore errors like #DIV/0! while performing calculations, making sure your results remain accurate and clean. This makes it an essential tool for maintaining data integrity, especially when working with datasets that may contain inconsistencies or incomplete entries. 10 Essential Excel Functions to Save Time and Boost Productivity Watch this video on YouTube. Check out more relevant guides from our extensive collection on Excel functions that you might find useful. 6. Undo and Redo: Correct Mistakes Instantly The Undo and Redo functions are indispensable for reversing or reapplying actions, providing flexibility and control over your workflow. These shortcuts are particularly useful when you need to correct mistakes or revisit previous steps: Ctrl + Z : Undo your last action. : Undo your last action. Ctrl + Y : Redo the action you just reversed. Additionally, the Undo dropdown menu allows you to reverse multiple steps at once, offering greater control and efficiency when making adjustments. 7. Removing Duplicates: Ensure Data Integrity Duplicate entries can compromise the accuracy and reliability of your data. Excel provides tools to identify and remove duplicates effectively: Use conditional formatting to highlight duplicate entries for review. Use the Remove Duplicates feature in the Data tab to eliminate duplicates entirely. These tools help maintain a clean and accurate dataset, which is essential for reliable analysis and reporting. 8. Freeze Panes and Tables: Improve Navigation Navigating large datasets can be challenging, but features like Freeze Panes and tables make it easier to manage and interpret your data. Freeze Panes keeps headers or specific rows and columns visible as you scroll, making sure important information remains accessible. Alternatively, converting your data into a table ( Ctrl + T ) provides dynamic headers, built-in filtering options, and additional formatting features. Both tools enhance readability and organization, making them invaluable for working with extensive spreadsheets. 9. F4 Key: Repeat Actions and Lock References The F4 key is a versatile tool that simplifies repetitive tasks and formula creation. It allows you to repeat your last action, such as formatting or inserting rows, with a single keystroke. Additionally, when creating formulas, pressing F4 toggles between absolute, relative, and mixed references, making sure your calculations remain consistent and accurate. This feature is particularly useful for complex formulas that require precise reference adjustments. 10. Control and Arrow Keys: Navigate Large Datasets Quickly Navigating large datasets can be time-consuming, but using Control + Arrow Keys allows you to jump to the edges of data ranges instantly. By combining this with Shift , you can select entire ranges of data efficiently. This shortcut is especially helpful when working with extensive spreadsheets, allowing you to locate and manipulate data with ease. Master These Functions to Work Smarter By incorporating these ten essential Excel functions into your workflow, you can transform the way you manage and analyze data. Tools like Paste Special, Flash Fill, and INDEX MATCH empower you to handle complex tasks with precision, while shortcuts such as Ctrl + Alt + V and Ctrl + E save valuable time. Whether you're navigating large datasets, performing intricate calculations, or maintaining data integrity, these features enable you to work more efficiently and effectively. Media Credit: Kenji Explains Filed Under: Guides Latest Geeky Gadgets Deals Disclosure: Some of our articles include affiliate links. If you buy something through one of these links, Geeky Gadgets may earn an affiliate commission. Learn about our Disclosure Policy.
