Best Data Management Software for Microsoft Excel - Page 8

In today’s constantly connected economy, the volume of data generated is skyrocketing. It’s crucial to adopt a data-driven approach that enables rapid responses and innovations to stay ahead of your rivals. Imagine if you could streamline the processes of data preparation and provisioning. Consider the benefits of conducting database analysis with ease and sharing valuable data insights among analysts across various teams. What if achieving all of this could lead to time savings of up to 40%? When paired with Toad® Data Point, Toad Intelligence Central serves as a budget-friendly, server-based solution that empowers your organization. It enhances collaboration among Toad users by providing secure and governed access to SQL scripts, project artifacts, provisioned data, and automation workflows. Furthermore, it allows for seamless abstraction of both structured and unstructured data sources through advanced connectivity, enabling the creation of refreshable datasets accessible to any Toad user. Ultimately, this integration not only optimizes efficiency but also fosters a culture of data-driven decision-making within your organization.

Y42 is the first fully managed Modern DataOps Cloud for production-ready data pipelines on top of Google BigQuery and Snowflake.

Cinchy is a data platform that enables teams, systems, and AI to securely manage and share data across the organization in real time—eliminating the need for complex and costly integrations. With simplified data management and real-time bidirectional updates across the network, Cinchy streamlines ERP and CRM consolidations, accelerates digital transformation, maximizes AI, and provides a single view customer 360, all with data level access controls and governance built in. Cinchy simplifies data management by enabling collaboration across teams and converging data and applications into a single experience where data works the way it should — connected, collaborative, and completely under your control.

Elevate your integration capabilities with the most extensive, microservices-oriented, API-centric, and AI-enhanced enterprise iPaaS available. Utilizing the advanced CLAIRE engine, IICS accommodates a wide array of cloud-native integration needs, including data, application, API integration, and Master Data Management (MDM). Our global reach and support for multiple cloud environments extend to major platforms like Microsoft Azure, AWS, Google Cloud Platform, and Snowflake. With unmatched enterprise scalability and a robust security framework backed by numerous certifications, IICS stands as a pillar of trust in the industry. This enterprise iPaaS features a suite of cloud data management solutions designed to boost efficiency while enhancing speed and scalability. Once again, Informatica has been recognized as a Leader in the Gartner 2020 Magic Quadrant for Enterprise iPaaS, reinforcing our commitment to excellence. Experience firsthand insights and testimonials about Informatica Intelligent Cloud Services, and take advantage of our complimentary cloud offerings. Our customers remain our top priority in all facets, including products, services, and support, which is why we've consistently achieved outstanding customer loyalty ratings for over a decade. Join us in redefining integration excellence and discover how we can help transform your business operations.

SQLyog Ultimate serves as a robust solution for MySQL development and administration, allowing database professionals to visually analyze and document schemas while optimizing their structure. This powerful tool offers an automation feature that enables users to schedule data synchronization between two MySQL servers efficiently. Users can easily create job definition files through an interactive wizard, and the tool operates independently of any installation on the MySQL hosts, making it versatile for use with any host. Additionally, SQLyog Ultimate provides an interactive mode for data synchronization, allowing comparisons between source and target data before executing any changes. The user-friendly interface facilitates a detailed examination of data row-by-row, enabling users to make informed decisions on synchronization direction. Furthermore, SQLyog Ultimate also includes capabilities for interactive schema comparison, allowing users to identify differences in tables, indexes, columns, and routines across two databases. This comprehensive functionality makes SQLyog Ultimate an essential asset for any MySQL user looking to enhance their development and administration tasks.

QRA’s tools streamline engineering artifact generation, evaluation, and prediction, refocusing engineers from tedious work to critical path development. Our solutions automate the creation of risk-free project artifacts for high-stakes engineering. Engineers often spend excessive time on the mundane task of refining requirements, with quality metrics varying across industries. QVscribe, QRA's flagship product, streamlines this by automatically consolidating these metrics and applying them to your documentation, identifying risks, errors, and ambiguities. This efficiency allows engineers to focus on more complex challenges. To further simplify requirement authoring, QRA introduced a pioneering five-point scoring system that instills confidence in engineers. A perfect score confirms accurate structure and phrasing, while lower scores prompt corrective guidance. This feature not only refines current requirements but also reduces common errors and enhances authoring skills over time.

If you're looking to establish a governed delta lake, create a data warehouse, or transition from a conventional database to a contemporary cloud data solution, Lyftrondata has you covered. You can effortlessly create and oversee all your data workloads within a single platform, automating the construction of your pipeline and warehouse. Instantly analyze your data using ANSI SQL and business intelligence or machine learning tools, and easily share your findings without the need for custom coding. This functionality enhances the efficiency of your data teams and accelerates the realization of value. You can define, categorize, and locate all data sets in one centralized location, enabling seamless sharing with peers without the complexity of coding, thus fostering insightful data-driven decisions. This capability is particularly advantageous for organizations wishing to store their data once, share it with various experts, and leverage it repeatedly for both current and future needs. In addition, you can define datasets, execute SQL transformations, or migrate your existing SQL data processing workflows to any cloud data warehouse of your choice, ensuring flexibility and scalability in your data management strategy.

No per-connection charges for setting up all the automated connections that you need. No per-connection fees for all the automated connections that you need. No technical expertise is required to set up and scale your cloud data warehouse or processing operations. Conversionomics allows you to make mistakes and ask hard questions about your data. You have the power to do whatever you want with your data. Conversionomics creates complex SQL to combine source data with lookups and table relationships. You can use preset joins and common SQL, or create your own SQL to customize your query. Conversionomics is a data aggregation tool with a simple interface that makes it quick and easy to create data API sources. You can create interactive dashboards and reports from these sources using our templates and your favorite data visualization tools.

IRI Voracity is an end-to-end software platform for fast, affordable, and ergonomic data lifecycle management. Voracity speeds, consolidates, and often combines the key activities of data discovery, integration, migration, governance, and analytics in a single pane of glass, built on Eclipse™. Through its revolutionary convergence of capability and its wide range of job design and runtime options, Voracity bends the multi-tool cost, difficulty, and risk curves away from megavendor ETL packages, disjointed Apache projects, and specialized software. Voracity uniquely delivers the ability to perform data: * profiling and classification * searching and risk-scoring * integration and federation * migration and replication * cleansing and enrichment * validation and unification * masking and encryption * reporting and wrangling * subsetting and testing Voracity runs on-premise, or in the cloud, on physical or virtual machines, and its runtimes can also be containerized or called from real-time applications or batch jobs.

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.