Best Data Management Software for Microsoft Excel - Page 8

Velox Software Suite allows data migration and system integration throughout an entire organization. The suite includes two applications: Migration Studio VXm -- which allows users to control data migrations; and Integration Server VXi -- which automates data processing and integration. Extract multiple sources and send to multiple destinations. A near real-time, unified view of all data without having to move between sources. Physically combine data from multiple sources, reduce storage locations, and transform according to business rules.

ThinkData Works provides a robust catalog platform for discovering, managing, and sharing data from both internal and external sources. Enrichment solutions combine partner data with your existing datasets to produce uniquely valuable assets that can be shared across your entire organization. The ThinkData Works platform and enrichment solutions make data teams more efficient, improve project outcomes, replace multiple existing tech solutions, and provide you with a competitive advantage.

Utilize a robust suite of SAS technologies to access, manipulate, analyze, and present information through visual formats. By leveraging SAS Visual Machine Learning, organizations can enhance their analytical capabilities with integrated machine learning and deep learning features, which facilitate improved visualization and reporting practices. This approach allows users to visualize and uncover pertinent relationships within their data. Additionally, the platform supports the creation and sharing of interactive reports and dashboards, alongside enabling self-service analytics to swiftly evaluate potential outcomes, fostering smarter, data-driven decisions. Users can delve into their data and construct or modify predictive analytical models while operating within the SAS® Viya® environment. Collaborative efforts among data scientists, statisticians, and analysts enable iterative model refinement tailored to specific segments or groups, ensuring decisions are informed by precise insights. Moreover, this comprehensive visual interface simplifies the resolution of intricate analytical challenges, efficiently managing every aspect of the analytics lifecycle while promoting a more collaborative environment for all stakeholders involved.

Access, analyze, and manipulate data to uncover emerging trends and patterns effectively. SAS Visual Data Science provides a unified, self-service platform that enables the creation and sharing of intelligent visualizations alongside interactive reports. Leveraging machine learning, text analytics, and econometric techniques enhances forecasting and optimization capabilities, while also allowing for the management and registration of both SAS and open-source models, whether within projects or as independent entities. Utilize this tool to visualize and identify pertinent relationships within your data. Generate and disseminate interactive reports and dashboards, employing self-service analytics to promptly evaluate potential outcomes for more informed, data-driven decisions. Dive into data exploration and construct or modify predictive analytical models using this solution integrated with SAS® Viya®. By fostering collaboration among data scientists, statisticians, and analysts, teams can iteratively refine models tailored to specific segments or groups, thereby empowering decisions rooted in precise insights. This collaborative approach not only enhances model accuracy but also accelerates the decision-making process significantly.

Develop, implement, and manage data-driven decision-making processes on a large scale in either real-time or batch modes. SAS Data Science Programming caters to data scientists who prefer a purely programmatic method, allowing them to utilize SAS's analytical tools throughout the entire analytics life cycle, which encompasses data preparation, exploration, and deployment. Uncover and visualize significant patterns within your datasets, enabling the creation and dissemination of interactive reports and dashboards. Additionally, leverage self-service analytics to swiftly evaluate likely outcomes, leading to more informed and data-centric decisions. Engage with your data and create or modify predictive analytical models using the SAS® Viya® platform. This collaborative environment empowers data scientists, statisticians, and analysts to work together, refining their models iteratively for various segments, ultimately supporting decision-making based on reliable insights. Tackle intricate analytical challenges through an all-encompassing visual interface that efficiently manages every aspect of the analytics life cycle, ensuring that users can navigate complexities with ease and precision. By embracing this approach, organizations can enhance their strategic decision-making capabilities significantly.

Incorporate analytics into immediate interactions and event-driven functionalities. The SAS Visual Data Science Decisioning suite offers strong capabilities in data management, visualization, advanced analytics, and model oversight. It enhances decision-making by crafting, integrating, and governing analytically driven decision processes at scale, whether in real-time or through batch processing. Additionally, it facilitates analytics deployment in the data stream to uncover valuable insights. Tackle intricate analytical challenges with an intuitive visual interface that manages all stages of the analytics life cycle efficiently. Running on SAS® Viya®, SAS Visual Data Mining and Machine Learning merges data manipulation, exploration, feature development, and cutting-edge statistical, data mining, and machine learning methodologies within a single, scalable in-memory processing framework. Users can access data files, libraries, and existing scripts, or create new ones, via this web-based application that is conveniently accessible through any browser, thus enhancing flexibility and collaboration.

Transform the way your workforce engages with data from historians, SCADA, and IoT devices, tailoring insights for everyone from field personnel to data analysts. Dive into your data like never before with a comprehensive platform that allows for integration, organization, collaboration, and visualization of industrial information all in one place. Effortlessly navigate and visualize numerous data signals simultaneously while maintaining clarity and performance through our innovative streaming data timeline technology. Initiate discussions or report incidents by tagging team members directly within the data timeline, enhancing communication and context by including media such as images and videos. Access historical activities to prevent redundant problem-solving, ensuring efficiency in your operations. Our robust permission system guarantees that your data remains accessible solely to you, while developer-friendly documentation and secure APIs facilitate safe and straightforward interactions. Whether you are at your desk, on a tablet, or using a mobile phone, our platform is optimized for all modern browsers, and you can also carry industrial data with you wherever you go through our dedicated mobile applications. This approach not only streamlines operations but also fosters a culture of continuous learning and collaboration among your teams.

RestApp is a No Code Data Activation Platform that provides anyone with an all-in one solution to connect, model and sync any data using his favorite tools. RestApp allows Data & Ops teams activate data in minutes using No-Code by: Connecting to your favorite databases and business apps Drag-and-drop SQL, NoSQL, and Python functions to model your data and then create and share queries with your colleagues - Automatically sync your data with your tools RestApp makes it easy to use our templates to: - Computing your main financial KPIs: churn rate, MRR, ARR, ACV, ARPU, LVT - Calculating your customers' lead scoring - Generate automatic cohort analyses

Discover the most effective method to generate, enhance, and distribute your product information seamlessly. Effortlessly gather and share details about your products with your websites, clients, or eCommerce platforms. Utilize a single platform that consolidates all your product data efficiently. Import product information from various sources such as Excel, product sheets, and beyond. Bring together the efforts of diverse teams into one centralized location. Collaborate to enrich your product data with text, visuals, videos, and other essential attributes. Streamline the management of your product information in one location while ensuring automatic updates across all channels. Utilize this unified platform to create, enhance, and disseminate your product information effectively. Develop and maintain online product catalogs that are not only accurate but also consistently current. Improve customer experiences by providing precise product data on your platforms. Generate professional-quality print-ready product sheets in just minutes using our user-friendly templates. Collaboratively enhance your product information with images, descriptions, and various attributes for a comprehensive approach. By working together, you can ensure that all aspects of your product data are aligned and optimized for success.

Industry experts estimate that as much as 20 percent of a business's contact information may be inaccurate, leading to issues such as returned mail, costs for address corrections, bounced emails, and inefficient marketing and sales endeavors. To address these challenges, the Data Quality Suite offers tools to standardize, verify, and correct contact information including postal addresses, email addresses, phone numbers, and names, ensuring effective communication and streamlined business processes. It boasts the capability to verify, standardize, and transliterate addresses across more than 240 countries, while also employing advanced recognition technology to identify over 650,000 ethnically diverse first and last names. Furthermore, it allows for the authentication of phone numbers and geo-data, ensuring that mobile numbers are active and reachable. The suite also validates domain names, checks syntax and spelling, and even conducts SMTP tests for comprehensive global email verification. By utilizing the Data Quality Suite, organizations of any size can ensure their data is accurate and up-to-date, facilitating effective communication with customers through various channels including postal mail, email, and phone calls. This comprehensive approach to data quality can significantly enhance overall business efficiency and customer engagement.

Structured Data Management (SDM) oversees the comprehensive lifecycle of structured data. It ensures data discovery, insight generation, protection, and management, all while minimizing the total cost of ownership for application infrastructure. Users can locate their data, document its attributes, and take appropriate actions. The Structured Data Manager provides immediate capabilities for identifying sensitive data. It facilitates privacy management throughout the data's lifecycle without compromising accessibility. By discovering and safeguarding sensitive information, the Structured Data Manager maintains its business significance and regulates database expansion. It enables users to scan for personal and sensitive information within databases, categorize their data effectively, and develop processes for remediation. This holistic approach not only enhances data security but also improves operational efficiency across the organization.

Slingshot is a digital workplace that combines all the best features of traditional office software to boost team performance. Only Slingshot can combine data analytics, project management, information management, chat, goals-based strategy benchmarking, and data analytics. Slingshot makes it easier to find and retrieve information, thereby creating calm and efficiency among teams, departments, clients, and external parties. Your team can use data to increase productivity and leverage actionable insights. You will achieve better results if everyone is focused on the same goals and strategies. Create a culture that encourages ownership and accountability, as well as transparency in workflow. Slingshot is being used by more and more companies to improve their workplace capabilities, increase project success, and provide a revolutionary software solution that unleashes the potential of their teams. Slingshot connects with your most important business tools, making it your project control centre.

The VertiPaq Analyzer is a powerful tool for examining the storage structures within a data model in Power BI and Analysis Services Tabular. It includes measures for various segments and partitions, such as pageable, resident, refresh date, and last access. Analysis Services offers a range of Dynamic Management Views (DMVs) to gather insights about the memory utilized by a data model. For instance, the DISCOVER_OBJECT_MEMORY_USAGE DMV reveals details about all objects currently residing in memory. This type of DMV can also be employed to monitor a Multidimensional instance of Analysis Services effectively. A notable contribution by Kasper de Jonge is the BISM Memory Report, a sample model that presents this information hierarchically, allowing users to easily identify the most resource-intensive databases, tables, and columns on a server. Should you wish to delve deeper into a specific database, additional detailed insights are accessible through other DMVs designed for this purpose. Understanding these tools and their capabilities can significantly enhance your data management strategies.

In the current landscape, forward-thinking companies are utilizing data to outperform competitors, enhance customer satisfaction, and identify new avenues for growth. However, they also face the complexities posed by industry regulations and strict data privacy laws that put pressure on conventional technologies and workflows. The importance of data quality cannot be overstated, yet it frequently falters before reaching business intelligence and analytics tools. Wiiisdom Ops is designed to help organizations maintain quality assurance within the analytics phase, which is crucial for the final leg of the data journey. Neglecting this aspect could expose your organization to significant risks, leading to poor choices and potential automated failures. Achieving large-scale BI testing is unfeasible without the aid of automation. Wiiisdom Ops seamlessly integrates into your CI/CD pipeline, providing a comprehensive analytics testing loop while reducing expenses. Notably, it does not necessitate engineering expertise for implementation. You can centralize and automate your testing procedures through an intuitive user interface, making it easy to share results across teams, which enhances collaboration and transparency.

Data Miner stands out as a premier web scraping tool tailored for serious data mining professionals. This extension, compatible with both Google Chrome and Edge browsers, enables users to effectively crawl web pages and extract data into formats like CSV files or Excel spreadsheets. With its user-friendly interface, Data Miner simplifies the process of advanced data extraction and web crawling. In just a few simple clicks, users can utilize any of the extensive collection of over 60,000 data extraction rules provided within the tool, or they can craft their own personalized rules to target specific data points from web pages. Whether scraping a single webpage or navigating an entire site, Data Miner is equipped to extract various types of information, including search results, product details, pricing, contact information, emails, and phone numbers. Upon completing the scraping process, Data Miner conveniently converts the gathered data into a well-organized CSV or Microsoft Excel file, making it easy for users to download and utilize. Additionally, Data Miner offers a robust array of features designed to allow users to extract any visible text from a webpage they are currently viewing in their browser, enhancing the tool's overall versatility.

Local Scraper has been a prominent player in the web scraping sector for more than eight years, seamlessly blending our extensive expertise into a user-friendly Lead Scraping application. This innovative tool empowers users to effortlessly generate an infinite number of local sales leads whenever they need them. Designed for Windows OS, Local Scraper is an intuitive desktop web scraper that allows you to take full control of your own lead generation efforts. With a simple click, you can extract lead data from major platforms like Google Maps, Google Places, Yahoo Local, Bing Maps, Home Advisor, Yellow Pages USA, Yellow Pages Canada, and Yellow Pages Australia. This means you have access to six supported websites and a total of eleven scrapers at your fingertips, providing you with the versatility necessary for your business needs. The program also features an automated lists function, enabling you to scrape data while enjoying your lunch or even while you sleep, ensuring that the bot continues to work tirelessly on your behalf. Experience the freedom of lead generation like never before with Local Scraper.

Introducing Quick Scraper - the ultimate solution for rapid HTML extraction from any site with just a single click! We take care of proxy servers, browsers, and CAPTCHAs effortlessly, allowing you to concentrate on your primary goals. With our adaptable parsers, you can effortlessly convert data in real-time into formats such as JSON, CSV, Excel, and more. Experience smooth integration with pre-configured APIs (parsers) for well-known platforms like Amazon, eBay, Walmart, and many others. Our state-of-the-art QuickScraper API features integrated anti-bot detection and evasion techniques, guaranteeing that your requests are processed smoothly and efficiently. Take advantage of our user-friendly interface to streamline your data extraction tasks.

Transform the way you handle data extraction with the innovative GPT parser, which enables the retrieval of structured information from various sources such as emails, PDFs, and other documents. This tool allows for real-time exporting of the extracted data to any application of your choice. Effortlessly gather signatures, contact details, dates, and important elements from human-generated emails and text messages. Additionally, you can convert handwritten notes, lists, and similar items into organized and actionable data formats. Capture important information like amounts, dates, ordered products, and vendor specifics from invoices, receipts, and purchase orders with precision. The tool also facilitates the automatic extraction of key components such as terms, parties involved, and essential details from contracts, making contract management considerably simpler. Furthermore, it smoothly collects vital information like names, contact numbers, and work history from CVs and resumes. Enhance your workflow by streamlining order processing through the extraction of order numbers, items, and delivery information from confirmation documents, ultimately boosting efficiency across various operations. By leveraging this powerful technology, users can significantly reduce manual data entry efforts and improve overall productivity.

Electe is an AI-powered data analytics platform headquartered in Milano that automatically transforms raw business data into actionable visual insights. Our platform democratizes data analysis by eliminating the need for technical expertise or dedicated data science teams. Using advanced machine learning algorithms, Electe handles the entire data analysis pipeline: from automated data preprocessing and cleaning to intelligent pattern recognition and visual report generation. The platform seamlessly imports data from multiple sources, automatically standardizes it, and applies sophisticated statistical analysis to uncover meaningful trends and opportunities that organizations might otherwise miss. What sets Electe apart is its ability to make complex data analysis accessible to business professionals across all departments. Users can generate comprehensive, customizable visual reports and dashboards with a single click, enabling quick, data-driven decision-making without any coding knowledge. Our solution particularly serves organizations looking to leverage their data assets without investing in specialized technical teams.

Wave farewell to the constant demands for customization and the headaches associated with SQL queries. You can now create stunning dashboards that highlight your data in less time than it takes to brew a cup of coffee. Our SDKs offer unparalleled flexibility for intelligent data management, complete with extensive features and smooth integration capabilities. With our user-friendly no-code widget, you can easily design integrated dashboards and compelling data visualizations. Choose to integrate smoothly with our developer-friendly SDKs or build directly on our versatile platform. With a strong commitment to data privacy, our tools ensure your information remains secure within your systems. By harnessing the power of AI, you can effortlessly generate unique dashboards and data visualizations simply by providing a prompt, transforming the way you interact with your data. This innovative approach allows for a more streamlined and efficient workflow, making data presentation easier than ever before.

Businesses require a solution to maintain seamless operations of their systems, enhance data processing speed, and ensure storage reliability. In-memory technologies have emerged as effective tools for addressing these challenges. For over a decade, Tarantool has been assisting organizations globally in creating intelligent caches, data marts, and comprehensive client profiles while optimizing server utilization. This approach not only reduces the expenses associated with storing credentials compared to isolated solutions but also enhances both the service and security of client applications. Furthermore, it lowers the costs of data management by minimizing the number of separate systems that hold customer identities. By analyzing user behavior and data, companies can boost sales through improved speed and accuracy in recommending products or services. Additionally, enhancing the performance of mobile and web channels can significantly reduce user attrition. In the context of large organizations, IT systems often operate within a closed network loop, which poses risks as data circulates without adequate protection. Consequently, it becomes imperative for corporations to adopt robust strategies that not only safeguard their data but also ensure optimal system functionality.

A live data platform based on Change Data Capture (CDC) facilitates the replication of diverse databases, supports real-time data integration, and assists in constructing a real-time data warehouse. By implementing CDC to synchronize production line information stored in DB2 and Oracle with a modern database, TapData has empowered an AI-enhanced real-time dispatch application that streamlines the semiconductor manufacturing process. The availability of real-time data has enabled prompt decision-making within the RTD application, resulting in quicker turnaround times and increased production yield. As a major telecommunications provider, the client operates numerous regional systems designed to serve local users effectively. By consolidating and integrating data from multiple sources and locations into a single centralized data repository, the client successfully established an order center that aggregates orders from various applications. Additionally, TapData integrates inventory data from over 500 stores, delivering real-time insights into stock availability and customer preferences, thereby significantly boosting supply chain efficiency. This innovative approach not only enhances operational performance but also positions the client to respond swiftly to market demands.

Our platform creates a comprehensive data framework that connects a network of integrated data, applications, and devices, empowering end users with the ability to derive actionable insights through analytics. Utilizing eQube's data virtualization layer, information from any source can be consolidated and made accessible through various services such as web, REST, OData, or API. This allows for the swift and efficient integration of numerous legacy systems alongside new commercial off-the-shelf (COTS) solutions. Legacy systems can be methodically phased out without causing disruptions to ongoing business operations. Furthermore, the platform delivers on-demand visibility into business processes through its advanced analytics and business intelligence (A/BI) features. The application integration infrastructure powered by eQube®-MI is designed for easy expansion, ensuring secure, scalable, and effective information sharing among networks, partners, suppliers, and customers regardless of their geographical locations. Additionally, this infrastructure supports a diverse range of collaborative efforts, fostering innovation and efficiency across the enterprise.

DataChain serves as a bridge between unstructured data found in cloud storage and AI models alongside APIs, facilitating immediate data insights by utilizing foundational models and API interactions to swiftly analyze unstructured files stored in various locations. Its Python-centric framework significantly enhances development speed, enabling a tenfold increase in productivity by eliminating SQL data silos and facilitating seamless data manipulation in Python. Furthermore, DataChain prioritizes dataset versioning, ensuring traceability and complete reproducibility for every dataset, which fosters effective collaboration among team members while maintaining data integrity. The platform empowers users to conduct analyses right where their data resides, keeping raw data intact in storage solutions like S3, GCP, Azure, or local environments, while metadata can be stored in less efficient data warehouses. DataChain provides versatile tools and integrations that are agnostic to cloud environments for both data storage and computation. Additionally, users can efficiently query their unstructured multi-modal data, implement smart AI filters to refine datasets for training, and capture snapshots of their unstructured data along with the code used for data selection and any associated metadata. This capability enhances user control over data management, making it an invaluable asset for data-intensive projects.

CSVBox serves as an importer tool tailored for CSV files in web applications, SaaS solutions, and APIs, allowing users to seamlessly integrate a CSV import feature into their applications within minutes. It boasts an advanced upload interface that lets users choose a spreadsheet file, align CSV headers with a set data model using intelligent column-matching suggestions, and perform data validation in real-time within the widget to guarantee smooth and accurate uploads. Supporting various file formats, including CSV, XLSX, and XLS, the tool incorporates functionalities such as smart column matching, client-side data checks, and upload progress indicators to boost user trust during the import process. Users can also enjoy a no-code setup, which permits them to establish their data model and validation criteria through an intuitive dashboard without any need for coding alterations. Furthermore, CSVBox allows for the generation of import links that facilitate file acceptance without necessitating the widget's presence, alongside the capability to assign custom attributes for further personalization. Overall, this comprehensive solution significantly simplifies the data import experience for users.