Alternatives to MassFeeds

IBM® SPSS® Statistics software is used by a variety of customers to solve industry-specific business issues to drive quality decision-making. The IBM® SPSS® software platform offers advanced statistical analysis, a vast library of machine learning algorithms, text analysis, open-source extensibility, integration with big data and seamless deployment into applications. Its ease of use, flexibility and scalability make SPSS accessible to users of all skill levels. What’s more, it’s suitable for projects of all sizes and levels of complexity, and can help you find new opportunities, improve efficiency and minimize risk.

The most accurate, complete, and timely data provides the best insight. Minitab Connect empowers data users across the enterprise with self service tools to transform diverse data into a network of data pipelines that feed analytics initiatives, foster collaboration and foster organizational-wide collaboration. Users can seamlessly combine and explore data from various sources, including databases, on-premise and cloud apps, unstructured data and spreadsheets. Automated workflows make data integration faster and provide powerful data preparation tools that allow for transformative insights. Data integration tools that are intuitive and flexible allow users to connect and blend data from multiple sources such as data warehouses, IoT devices and cloud storage.

Improvado, an ETL solution, facilitates data pipeline automation for marketing departments without any technical skills. This platform supports marketers in making data-driven, informed decisions. It provides a comprehensive solution for integrating marketing data across an organization. Improvado extracts data form a marketing data source, normalizes it and seamlessly loads it into a marketing dashboard. It currently has over 200 pre-built connectors. On request, the Improvado team will create new connectors for clients. Improvado allows marketers to consolidate all their marketing data in one place, gain better insight into their performance across channels, analyze attribution models, and obtain accurate ROMI data. Companies such as Asus, BayCare and Monster Energy use Improvado to mark their markes.

Rivery’s ETL platform consolidates, transforms, and manages all of a company’s internal and external data sources in the cloud. Key Features: Pre-built Data Models: Rivery comes with an extensive library of pre-built data models that enable data teams to instantly create powerful data pipelines. Fully managed: A no-code, auto-scalable, and hassle-free platform. Rivery takes care of the back end, allowing teams to spend time on mission-critical priorities rather than maintenance. Multiple Environments: Rivery enables teams to construct and clone custom environments for specific teams or projects. Reverse ETL: Allows companies to automatically send data from cloud warehouses to business applications, marketing clouds, CPD’s, and more.

A powerful iPaaS platform for integration and business process automation. Linx is a powerful integration platform (iPaaS) that enables organizations to connect all their data sources, systems, and applications. The platform is known for its programming-like flexibility and the resulting ability to handle complex integrations at scale. It is a popular choice for growing businesses looking to embrace a unified integration strategy.

Datuum is an AI-powered data integration tool that offers a unique solution for organizations looking to streamline their data integration process. With our pre-trained AI engine, Datuum simplifies customer data onboarding by allowing for automated integration from various sources without coding. This reduces data preparation time and helps establish resilient connectors, ultimately freeing up time for organizations to focus on generating insights and improving the customer experience. At Datuum, we have over 40 years of experience in data management and operations, and we've incorporated our expertise into the core of our product. Our platform is designed to address the critical challenges faced by data engineers and managers while being accessible and user-friendly for non-technical specialists. By reducing up to 80% of the time typically spent on data-related tasks, Datuum can help organizations optimize their data management processes and achieve more efficient outcomes.

Altair Monarch, a leader in data discovery and data transformation with more than 30 years of industry experience, offers the fastest and most efficient way to extract data from any source. Users can collaborate and create simple workflows that don't require any coding. They can transform complex data, such as PDFs, text files, and big data, into rows or columns. Altair can automate the preparation of data on premises and in the cloud to deliver reliable data for smart business decision-making. Click the links below to learn more about Altair Monarch and download a free copy of its enterprise software.

The fastest way to prepare data and build data pipelines in cloud. Trifacta offers visual and intelligent guidance to speed up data preparation to help you get to your insights faster. Poor data quality can cause problems in any analytics project. Trifacta helps you to understand your data and can help you quickly and accurately clean up it. All the power without any code. Trifacta offers visual and intelligent guidance to help you get to the right insights faster. Manual, repetitive data preparation processes don't scale. Trifacta makes it easy to build, deploy, and manage self-service data networks in minutes instead of months.

Zoho DataPrep is an advanced self-service data preparation software that helps organizations prepare data by allowing import from a variety of sources, automatically identifying errors, discovering data patterns, transforming and enriching data and scheduling export all without the need for coding.

Verodat, a SaaS-platform, gathers, prepares and enriches your business data, then connects it to AI Analytics tools. For results you can trust. Verodat automates data cleansing & consolidates data into a clean, trustworthy data layer to feed downstream reporting. Manages data requests for suppliers. Monitors data workflows to identify bottlenecks and resolve issues. The audit trail is generated to prove quality assurance for each data row. Validation & governance can be customized to your organization. Data preparation time is reduced by 60% allowing analysts to focus more on insights. The central KPI Dashboard provides key metrics about your data pipeline. This allows you to identify bottlenecks and resolve issues, as well as improve performance. The flexible rules engine allows you to create validation and testing that suits your organization's requirements. It's easy to integrate your existing tools with the out-of-the box connections to Snowflake and Azure.

Kylo is an enterprise-ready open-source data lake management platform platform for self-service data ingestion and data preparation. It integrates metadata management, governance, security, and best practices based on Think Big's 150+ big-data implementation projects. Self-service data ingest that includes data validation, data cleansing, and automatic profiling. Visual sql and an interactive transformation through a simple user interface allow you to manage data. Search and explore data and metadata. View lineage and profile statistics. Monitor the health of feeds, services, and data lakes. Track SLAs and troubleshoot performance. To enable user self-service, create batch or streaming pipeline templates in Apache NiFi. While organizations can spend a lot of engineering effort to move data into Hadoop, they often struggle with data governance and data quality. Kylo simplifies data ingest and shifts it to data owners via a simple, guided UI.

BDB is a modern data analysis and BI platform that can dig deep into your data to uncover actionable insights. It can be deployed on-premise or in the cloud. Our unique microservices-based architecture includes elements such as Data Preparation and Predictive, Pipeline, Dashboard designer, and Pipeline. This allows us to offer customized solutions and scalable analysis to different industries. BDB's NLP-based search allows users to access the data power on desktop, tablet, and mobile. BDB is equipped with many data connectors that allow it to connect to a variety of data sources, apps, third-party API's, IoT and social media. It works in real-time. It allows you to connect to RDBMS and Big data, FTP/ SFTP Server flat files, web services, and FTP/ SFTP Server. You can manage unstructured, semi-structured, and structured data. Get started on your journey to advanced analysis today.

Coheris Spad by ChapsVision offers a self-service data analysis service for Data Scientists of all industries and sectors. Coheris Spad is taught at many top French and foreign universities. This gives it a great reputation within the Data Scientists community. Coheris Spad from ChapsVision gives you a wealth of methodological knowledge that covers a wide range of data analysis. You have all the power to discover, prepare, and analyze your data in a user-friendly, intuitive environment.

You can build, run, and manage AI models and optimize decisions across any cloud. IBM Watson Studio allows you to deploy AI anywhere with IBM Cloud Pak®, the IBM data and AI platform. Open, flexible, multicloud architecture allows you to unite teams, simplify the AI lifecycle management, and accelerate time-to-value. ModelOps pipelines automate the AI lifecycle. AutoAI accelerates data science development. AutoAI allows you to create and programmatically build models. One-click integration allows you to deploy and run models. Promoting AI governance through fair and explicable AI. Optimizing decisions can improve business results. Open source frameworks such as PyTorch and TensorFlow can be used, as well as scikit-learn. You can combine the development tools, including popular IDEs and Jupyter notebooks. JupterLab and CLIs. This includes languages like Python, R, and Scala. IBM Watson Studio automates the management of the AI lifecycle to help you build and scale AI with trust.

The core technology that enables modern data integration and data management. Connect disparate, structured and unstructured data sources quickly. Catalog your entire data ecosystem. The data is kept in the source and can be accessed whenever needed. Adapt data models to the consumer's needs, even if they come from multiple sources. Your back-end technologies can be hidden from end users. You can secure the virtual model and use it to consume standard SQL and other formats such as SOAP, REST, SOAP, and OData. Access to all types data is easy. Data integration and data modeling capabilities are available. Active Data Catalog and self service capabilities for data and metadata discovery and preparation. Full data security and governance capabilities. Data queries executed quickly and intelligently. Real-time data delivery in all formats. Data marketplaces can be created. Data-driven strategies can be made easier by separating business applications and data systems.

Oracle Big Data Preparation Cloud Service (PaaS), is a cloud-based managed Platform as a Service (PaaS). It allows you to quickly ingest, repair and enrich large data sets in an interactive environment. For down-stream analysis, you can integrate your data to other Oracle Cloud Services such as Oracle Business Intelligence Cloud Service. Oracle Big Data Preparation Cloud Service has important features such as visualizations and profile metrics. Visual access to profile results and summary for each column are available when a data set has been ingested. You also have visual access the duplicate entity analysis results on the entire data set. You can visualize governance tasks on the service homepage with easily understandable runtime metrics, data quality reports and alerts. Track your transforms to ensure that files are being processed correctly. The entire data pipeline is visible, from ingestion through enrichment and publishing.

Finance teams can use the digital work platform. Automate with drag-and-drop, powerful components. All reports can be created without the need for external IT. You can adapt to change and be more agile that your competitors. Automate processes that are unique for your company. More than 100 automations are available to manipulate files and data in every format. All of your data can be connected through APIs, SFTP, and RPA extensions. Automated data quality checking and exception reporting. You can store and process large amounts of data easily. EmbeddedBI allows you to create stunning visualizations from your data. Connectors to AI services, support for Python and R models. End-to-end automation can replace disconnected data silos. You can create all your reports in minutes so you can spend more time analysing. Processes can be paused, requested and collected data from humans. You can share data and processes with your team to reduce risk for key-persons.

Upsolver makes it easy to create a governed data lake, manage, integrate, and prepare streaming data for analysis. Only use auto-generated schema on-read SQL to create pipelines. A visual IDE that makes it easy to build pipelines. Add Upserts to data lake tables. Mix streaming and large-scale batch data. Automated schema evolution and reprocessing of previous state. Automated orchestration of pipelines (no Dags). Fully-managed execution at scale Strong consistency guarantee over object storage Nearly zero maintenance overhead for analytics-ready information. Integral hygiene for data lake tables, including columnar formats, partitioning and compaction, as well as vacuuming. Low cost, 100,000 events per second (billions every day) Continuous lock-free compaction to eliminate the "small file" problem. Parquet-based tables are ideal for quick queries.

Synthesized can help you unlock the full potential of your data projects and AI. We automate all stages of data preparation and provisioning with cutting-edge AI. The platform synthesizes data without exposing personal information or causing compliance issues. Software to prepare and provide accurate synthetic data for building better models at scale. Synthesized solves the problem of data sharing for businesses. 40% of companies that invest in AI can't report business benefits. Our easy-to-use platform allows data scientists, product, and marketing teams to focus on revealing critical insight. Without representative data, testing data-driven applications can be difficult. This can lead to problems when services go live.

Drag-and-drop and generative AI tools enable analysts to prepare and blend data up 100 times faster than traditional solutions. Self-service analytics platform gives analysts the power to remove costly bottlenecks and empowers them. Alteryx Designer, a self-service analytics platform, empowers analysts by allowing them to prepare data, blend it, and analyze it using intuitive drag-and-drop tools. The platform integrates with over 80 data sources and supports 300 automation tools. Alteryx Designer, with its focus on low-code/no-code capabilities, allows users to create analytic workflows easily, accelerate analytics processes using generative AI and generate insights, without needing to have advanced programming skills. It is also highly versatile, allowing the output of results into over 70 different tools. It is designed to be efficient, allowing businesses to speed up the preparation and analysis of data.

Amazon SageMaker Data Wrangler cuts down the time it takes for data preparation and aggregation for machine learning (ML). This reduces the time taken from weeks to minutes. SageMaker Data Wrangler makes it easy to simplify the process of data preparation. It also allows you to complete every step of the data preparation workflow (including data exploration, cleansing, visualization, and scaling) using a single visual interface. SQL can be used to quickly select the data you need from a variety of data sources. The Data Quality and Insights Report can be used to automatically check data quality and detect anomalies such as duplicate rows or target leakage. SageMaker Data Wrangler has over 300 built-in data transforms that allow you to quickly transform data without having to write any code. After you've completed your data preparation workflow you can scale it up to your full datasets with SageMaker data processing jobs. You can also train, tune and deploy models using SageMaker data processing jobs.

Preprocessing is almost always required to make your data ready for you. Our AI automates tedious tasks such as preparing and cleaning your data to save you hours of labor. Data analysts spend 80% their time manually preprocessing and cleansing data to gain insights. AI is a game changer. Transform text columns, such as customer feedback, into 0-5 numerical ratings. Create a new column to analyze sentiments and identify patterns in customer feedback. Remove columns that are not relevant to the data. External data is added to provide a comprehensive view. Unreliable data can lead to faulty decisions. Prioritizing the preparation of high-quality and clean data is essential for your data-driven decision making process. We do not use your data to improve our AI agents. Your information is strictly yours. We store your data on the most reliable cloud providers.

Paxata, a visually-dynamic and intuitive solution, allows business analysts to quickly ingest, profile, curate, and curate multiple raw data sets into consumable information in an easy-to-use manner. This greatly accelerates the development of actionable business insight. Paxata empowers business analysts and SMEs. It also offers a rich set automation capabilities and embeddable data preparation capabilities that allow data preparation to be operationalized and delivered as a service in other applications. Paxata's Adaptive Information Platform, (AIP), unifies data integration and data quality. It also offers comprehensive data governance and audit capabilities, as well as self-documenting data lineage. The Paxata Adaptive Information Platform (AIP) uses a native multi-tenant elastic clouds architecture and is currently deployed as an integrated multi-cloud hybrid information fabric.

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.

MyDataModels' best-in-class predictive analytics model TADA allows professionals to use their Small Data to improve their business. It is a simple-to-use tool that is easy to set up. TADA is a predictive modeling tool that delivers fast and useful results. With our 40% faster automated data preparation, you can transform your time from days to just a few hours to create ad-hoc effective models. You can get results from your data without any programming or machine learning skills. Make your time more efficient with easy-to-understand models that are clear and understandable. You can quickly turn your data into insights on any platform and create automated models that are effective. TADA automates the process of creating predictive models. Our web-based pre-processing capabilities allow you to create and run machine learning models from any device or platform.

Kepler's Automated Data Science workflows make it easy to eliminate the need for programming and machine learning. You can quickly join and get data-driven insights that are unique to your company and your data. Our SaaS-based model allows you to receive continuous updates and additional Workflows from our AI and ML teams. With a platform that grows with you business, scale AI and accelerate time to value using the skills and team already within your company. Advanced AI and machine learning capabilities can solve complex business problems without the need to have any technical ML knowledge. You can leverage state-of the-art, end to end automation, a large library of AI algorithms, as well as the ability to quickly deploy machine-learning models. Organizations use Kepler to automate and augment critical business processes in order to increase productivity and agility.

Our automated data operations platform allows businesses to reduce the number of full-time staff needed to support data operations. Our product simplifies and reduces costs for a process that is usually very manual and costly. Most companies are too busy processing data to pay attention to its quality. Our product will make you proactive in the area of data quality. Our platform, which has a built-in system of alerts and clear visibility over all incoming data, ensures that you meet your data quality standards. Our platform is a unique solution that combines many manual processes into one platform. After a simple install and a few configurations, the BettrData.io Platform is ready for use.

Tableau Prep is a revolutionary tool that changes the way data prep in an organization. Tableau Prep provides a visual and easy way for business users and analysts to quickly start their analysis. Tableau Prep consists of two products: Tableau Prep Builder to build your data flows and Tableau Prep Conductor to manage, monitor, and schedule flows throughout the organization. You can view row-level data and profiles for each column in three coordinated views. This allows you to see the entire data preparation process. Based on the task, you can choose which view to interact. You can edit a value by selecting and then editing directly. You can instantly change the join type and see the result. You can instantly see the data change with each action, even if you have millions of rows. Tableau Prep Builder allows you to experiment and re-order steps without consequences.

In just minutes, you can do a week's worth manual data preparation. Intelligent data preparation reduces time to insight A new approach to data preparation. Data Preparer software offers a new way to prepare data for analysis. Data Preparer lets you specify what you need and the software will work out how to make it. Hands-free Data Preparation Data Preparer handles data without the need for manual data preparation. Data Preparer allows you to: You will need to provide data sources, a target framework, quality priorities, and examples of data. The target structure and the quality priorities will make it clear what you need. Data Preparer uses the example data to integrate and clean up the data. Transfer to Data Preparer. Data Preparer examines the relationship between the data sources and the target and populates it from the sources. Data Preparer examines the different ways in which data sources can be combined and reformats data

Quickly prepare data to provide trusted insights across the organization. Business analysts and data scientists spend too much time cleaning out data rather than analyzing it. Talend Data Preparation is a self-service, browser-based tool that allows you to quickly identify errors and create rules that can be reused and shared across large data sets. With our intuitive user interface and self-service data preparation/curation functionality, anyone can perform data profiling, cleansing, enriching and enrichment in real time. Users can share prepared datasets and curated data, and embed data preparations in batch, bulk, or live data integration scenarios. Talend allows you to transform ad-hoc analysis and data enrichment jobs into fully managed, reusable process. You can use any data source, including Teradata and AWS, Salesforce and Marketo, to operationalize data preparation. Always using the most recent datasets. Talend Data Preparation gives you control over data governance.

DataPreparator is a software tool that can be used to help with data preparation, or data preprocessing, in data analysis and/or data mining. DataPreparator is a free software tool that can help you prepare and explore data in different ways before data analysis or data mining. It has operators for cleaning and discretization, numeration. Scaling, attribute selection, missing values. outliers, statistics. Visualization, balancing, sampling, row selection and many other tasks. Access data from text files, relational database, and Excel workbooks. Large volumes of data can be handled (data sets are not stored in computer memory, except for Excel workbooks and result set of some databases that do not support data streaming). It can be used alone, without the need for any other tools. A graphical user interface that is easy to use. Operator chaining allows you to create preprocessing transformation sequences (operator tree). Model tree creation for execution/test data.

Self-Service Data Preparation tool. Toad®, Data Point is a cross platform, self-service data-integration tool that makes data access, preparation, and provisioning easier. It offers almost unlimited data connectivity and desktop integration. With the Workbook interface for business users you can easily build visual queries and automate workflows with the Workbook interface. Connect to a wide variety of data sources including SQL-based and NoSQL database, ODBC, business intelligence, Microsoft Excel and Access. You can use one tool to profile data and get consistent results. You can create a query without having to write or edit SQL statements. The intuitive graphical user interface makes it easy to create relationships and visualize queries, even for those who are not familiar with SQL. Toad Data Point Professional allows users to choose between two interfaces, depending on what they do. The traditional interface offers maximum flexibility and extensive functionality.

Power Query makes it easy to connect, extract and transform data from a variety of sources. Power Query is a data preparation and transformation engine. Power Query includes a graphical interface to retrieve data from sources, and a Power Query Editor to apply transformations. The destination where the data will be stored is determined by where Power Query was installed. Power Query allows you to perform the extraction, transform, load (ETL), processing of data. Microsoft's Data Connectivity and Data Preparation technology allows you to seamlessly access data from hundreds of sources and modify it to your requirements. It is easy to use and engage with, and requires no code. Power Query supports hundreds data sources with built in connectors and generic interfaces (such REST APIs and ODBC, OLE and DB) as well as the Power Query SDK for creating your own connectors.

The data refinery tool is available in IBM Watson®, Studio and Watson™, Knowledge Catalog. It transforms large amounts of data quickly into useful, high-quality information that's ready to be used for analytics. Over 100 built-in operations allow you to interactively search, cleanse, and transform data. No programming skills are required. You can easily analyze the distribution and quality of your data with dozens of built in graphs, charts, and statistics. Automatically identify data types and business classes. Access and explore data from a variety of data sources within your organization, or in the cloud. Data governance professionals can automatically enforce policies. For repeatable results, schedule data flow executions. Receive notifications and monitor results. Apache Spark allows you to easily scale out and apply transformation recipes to full data sets. No need to manage Apache Spark clusters.

Alteryx AI Platform will help you enter a new age of analytics. Empower your organization through automated data preparation, AI powered analytics, and accessible machine learning - all with embedded governance. Welcome to a future of data-driven decision making for every user, team and step. Empower your team with an intuitive, easy-to-use user experience that allows everyone to create analytical solutions that improve productivity and efficiency. Create an analytics culture using an end-toend cloud analytics platform. Data can be transformed into insights through self-service data preparation, machine learning and AI generated insights. Security standards and certifications are the best way to reduce risk and ensure that your data is protected. Open API standards allow you to connect with your data and applications.

The self-service analytics tools promised to make end users more data-driven and agile. The increased agility resulted in siloed, disconnected work as a part of an ungoverned data-free-for-all. Knowledge Hub addresses these issues by providing a solution that benefits business users and simplifies and improves IT governance. Knowledge Hub is the only market-leading collaborative data preparation platform. It offers a browser-based interface that automates data transform tasks. Business teams can collaborate with data engineers and scientists to create, validate, and share governed, trusted datasets. No coding is required to share work and make better decisions. A cloud-ready solution that is designed to foster innovation can manage governance, data lineage, and collaboration. A platform that is extensible and requires little to no code allows multiple people in the enterprise to transform data.

The ever-on economy of today is creating data at an ever-increasing rate. It's important to be data-driven so that you can react quickly to new opportunities and stay ahead of your competitors. What if data provisioning and preparation could be simplified? What if you could share data insights across teams and perform database analysis more efficiently? Imagine if you could do this with a time saving of up to 40% Toad Intelligence Central, a server-based application, can be used in conjunction with Toad(r] Data Point. It transfers power back into your business at a cost-effective price. Secure, controlled access to SQL scripts, project artifacts and automation workflows can improve collaboration among Toad users. Advanced data connectivity allows you to easily abstract structured and unstructured data sources to create refreshable datasets that can be used by any Toad user.

Invenis is a data mining and analysis platform. You can easily clean, aggregate, and analyze your data. Then scale up to improve your decision-making. Data enrichment, cleansing, harmonization, and preparation of data are all possible. Prediction, segmentation, recommendation. Invenis connects with all your data sources, MySQL and Oracle, Postgres SQL (Hadoop), HDFS (Hadoop), HDFS (Hadoop), HDFS (Hadoop), HDFS, HDFS, HDFS) and allows you to analyze all files, CSV, JSON etc. You can make predictions on all your data without having to code or need for a team. Based on your data and use cases, the best algorithms are automatically selected. Automate repetitive tasks and your recurring analysis. You can save time and fully utilize your data's potential! You can work together with other analysts in your team as well as with all other teams. This makes decision-making easier and information is easily shared with all levels of the company.

Weights & Biases allows for experiment tracking, hyperparameter optimization and model and dataset versioning. With just 5 lines of code, you can track, compare, and visualise ML experiments. Add a few lines of code to your script and you'll be able to see live updates to your dashboard each time you train a different version of your model. Our hyperparameter search tool is scalable to a massive scale, allowing you to optimize models. Sweeps plug into your existing infrastructure and are lightweight. Save all the details of your machine learning pipeline, including data preparation, data versions, training and evaluation. It's easier than ever to share project updates. Add experiment logging to your script in a matter of minutes. Our lightweight integration is compatible with any Python script. W&B Weave helps developers build and iterate their AI applications with confidence.

No-code data cleaning, preparation, and ML platform. Specialized development for business cases and on-premise setup for privacy. Sweephy's modules are free to you. Machine learning-powered, no-code tools. Simply enter the data and keywords you are looking for. The model can generate a report based upon keywords. Our model can not only check the words in the text but also classifies semantically and grammatically. Let's find similar records in your database. Sweephy Dedupu API allows you to create a unified user database using different data sources. Sweephy API allows you to easily create object detection model by finetuning existing models. Send us your use cases and we'll create the right model for you. You can use this method to classify documents, pdfs and invoices. Simply upload the image dataset. We can either remove the noise from the image or create a model that is more tailored to your business case.

Decision intelligence aims to empower employees with the ability to make faster, more informed decisions that will allow them to take corrective steps, capitalize on opportunities, and drive innovation. The data and analytics platform that is purpose-built to help enterprises make better, faster decisions. A new type of engine drives it. Streamlining the entire analysis workflow. One platform for all data, any person, and any analytics needs. This is the future for intelligent decisions. This new platform combines data preparation, data science, and business analytics into one integrated platform. Streamline all aspects of decision-making. Everything from discovery to publishing to modeling is interconnected (and easy-to-use). It can be run at hyper-scale to support any data-driven decision. Advanced data science is available for all business needs, from the C-Suite to frontline.

The common threads that make the most successful businesses are increasing organizational efficiency, mitigating risks, growing revenue, and innovating fast. Data360 Analyze allows you to quickly aggregate large amounts of data and uncover valuable insights across business units. Its intuitive browser-based architecture makes it easy to access, prepare and analyze high quality data. An in-depth understanding of your organization's data landscape will help you identify missing or outlying data and anomalies in data logic. To provide accurate, relevant, and trustworthy information for analysis, accelerate the discovery, validation and transformation of data from your organization. Visual data inspection and lineage enable you to track and access data at every stage of the data flow analysis process. This allows you to collaborate with other stakeholders to build trust and confidence in the data and its insights.

Foundry is a transformative data platform built to help solve the modern enterprise’s most critical problems by creating a central operating system for an organization’s data, while securely integrating siloed data sources into a common analytics and operations picture. Palantir works with commercial companies and government organizations alike to close the operational loop, feeding real-time data into your data science models and updating source systems. With a breadth of industry-leading capabilities, Palantir can help enterprises traverse and operationalize data to enable and scale decision-making, alongside best-in-class security, data protection, and governance. Foundry was named by Forrester as a leader in the The Forrester Wave™: AI/ML Platforms, Q3 2022. Scoring the highest marks possible in product vision, performance, market approach, and applications criteria. As a Dresner-Award winning platform, Foundry is the overall leader in the BI and Analytics market and rated a perfect 5/5 by its customer base.

Automate data access via data platforms and apps. Explore, prep, blend and analyze data and then deliver bot-driven insights wherever and whenever you need them. Create workflows in minutes to automate all steps of analytics, from data access to delivery. Shadow analytics is dead. All stakeholders can collaborate and create in one platform. Audit and manage workflows. One platform for supply-chain and HR, sales & marketing analytics. Fivetran, Snowflake (DBT, Workday), Pendo Marketo, PowerBI), Pendo, Marketo and Pendo are all integrated. No code. No limits. Savant's no code platform allows you to stitch, transform, and analyze data using the exact same functions as in Excel or SQL. Automated steps make it easy to focus on analysis and not manual work.

Monitor your data health, and monitor your pipeline performance. Get unified visibility for all pipelines that use cloud-native tools such as Apache Spark, Snowflake and BigQuery. A platform for Data Engineers that provides observability. Data engineering is becoming more complex as business stakeholders demand it. Databand can help you catch-up. More pipelines, more complexity. Data engineers are working with more complex infrastructure and pushing for faster release speeds. It is more difficult to understand why a process failed, why it is running late, and how changes impact the quality of data outputs. Data consumers are frustrated by inconsistent results, model performance, delays in data delivery, and other issues. A lack of transparency and trust in data delivery can lead to confusion about the exact source of the data. Pipeline logs, data quality metrics, and errors are all captured and stored in separate, isolated systems.

Lyftrondata can help you build a governed lake, data warehouse or migrate from your old database to a modern cloud-based data warehouse. Lyftrondata makes it easy to create and manage all your data workloads from one platform. This includes automatically building your warehouse and pipeline. It's easy to share the data with ANSI SQL, BI/ML and analyze it instantly. You can increase the productivity of your data professionals while reducing your time to value. All data sets can be defined, categorized, and found in one place. These data sets can be shared with experts without coding and used to drive data-driven insights. This data sharing capability is ideal for companies who want to store their data once and share it with others. You can define a dataset, apply SQL transformations, or simply migrate your SQL data processing logic into any cloud data warehouse.

You can load your data into Hadoop or data lakes. Prepare it for visualizations, advanced analytics, reports and reporting - all from the data lakes. You can do it all yourself, fast and easily. It makes it easy to access, transform, and manage data stored in Hadoop/data lakes using a web-based interface. This reduces training requirements. It was designed from the ground up to manage large amounts of data in Hadoop and data lakes. It is not repurposed or adapted from existing IT-focused tools. You can group multiple directives together to run simultaneously, or one after another. The exposed Public API allows you to schedule and automate directives. Allows you to share or secure directives. These directives can be called from SAS Data Integration Studio. This combines technical and non-technical user activities. Included directives: casing, gender, pattern analysis, field extract, match-merge, cluster-survive. For better performance, profiling runs parallel on the Hadoop cluster.

Connect your data to the Engine by uploading a file, or connecting to a database. You can then analyze your data with visualizations or prepare it for machine learning modeling using the data wrangling recipes. Build machine learning models using algorithms such as clustering, classification, or regression. All without writing any code. Discover insights into your data using the feature importance tools, prediction explanations, and what-ifs. Our connectors allow you to make predictions and integrate them into your existing systems.

Integrate master data management technologies into SAS 9.4. SAS MDM can be accessed via the SAS Data Management console. It provides a single, accurate, and unified view for corporate data by integrating data from multiple sources into one master record. SAS®, Data Remediation, and SAS(r] Task Manager can be used together with SAS MDM as well as other software offerings such as SAS® Data Management or SAS(r] Data Quality. SAS Data Remediation allows users to resolve issues that are triggered by business rules in SAS MDM batch job and real-time processes. SAS Task Manager is a complementing application that integrates with SAS Workflow technologies. It allows users direct access to a workflow that may have been initiated from another SAS app. Workflows that have been uploaded can be started, stopped, or transitioned.

The Easy Way to Remove Duplicate Salesforce Records DataGroomr uses Machine Learning to automatically detect duplicate Salesforce records. Duplicate Salesforce records are automatically loaded into a queue so users can compare them side-by-side and decide which values to keep, add new values, or merge. DataGroomr provides everything you need to locate, merge, and get rid off dupes. DataGroomr's Machine Learning algorithms take care of the rest. You can merge duplicate records in one click or en masse from within the app. You can select field values to create a master record, or you can use inline editing for new values. You don't want to see duplicates across the entire organization. You can define your own data by industry, region, or any Salesforce field. The import wizard allows you to merge, deduplicate and append records while importing Salesforce. Automated duplication reports and mass merging tasks can be set up at a time that suits your schedule.