Alternatives to Syniti Data Quality

Big Data Quality must always be verified to ensure that data is safe, accurate, and complete. Data is moved through multiple IT platforms or stored in Data Lakes. The Big Data Challenge: Data often loses its trustworthiness because of (i) Undiscovered errors in incoming data (iii). Multiple data sources that get out-of-synchrony over time (iii). Structural changes to data in downstream processes not expected downstream and (iv) multiple IT platforms (Hadoop DW, Cloud). Unexpected errors can occur when data moves between systems, such as from a Data Warehouse to a Hadoop environment, NoSQL database, or the Cloud. Data can change unexpectedly due to poor processes, ad-hoc data policies, poor data storage and control, and lack of control over certain data sources (e.g., external providers). DataBuck is an autonomous, self-learning, Big Data Quality validation tool and Data Matching tool.

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.

It shouldn't take long to analyze data from your business solutions. Zuar Runner allows you to automate your ELT/ETL processes, and have data flow from hundreds of sources into one destination. Zuar Runner can manage everything: transport, warehouse, transformation, model, reporting, and monitoring. Our experts will make sure your deployment goes smoothly and quickly.

High-volume, disconnected data can be quickly transformed into actionable business insights using scalable enterprise data quality. Trillium Quality, a flexible, powerful data quality tool, supports your rapidly changing business requirements, data sources, and enterprise infrastructures, including big data and cloud. Its data cleansing features and standardization capabilities automatically understand global data such as customer, product, and financial data in any context. Pre-formatting and preprocessing are unnecessary. Trillium Quality services can be deployed on-premises or remotely in real time, in batch or in the cloud. They use the same rules and standards across a wide range of applications and systems. Open APIs allow you to seamlessly connect to third-party and custom applications while centrally managing and controlling data quality services.

Automates data cleansing & consolidates data into a clean, trustworthy data layer to feed downstream reporting. Manages suppliers' data requests. Monitors data workflow to identify bottlenecks and resolve problems. To prove quality assurance for each data row, creates an audit trail. You can customize validation and governance to fit your organization. Data analysts can focus on their insights by reducing data prep time by 60% 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. Flexible rules engine allow users to create validation and testing that are tailored to their needs. It's easy to integrate gather360 into your existing tools or use it for setting up your cloud infrastructure.

Data Ladder is a data cleansing and quality company that helps you "get the best out of your data." We offer data matching, profiling and deduplication as well as enrichment. Our product offerings are simple and easy to understand. This allows us to provide excellent customer service and a great solution for our customers. Our products are used by Fortune 500 companies. We are proud of our reputation for listening to our customers, and constantly improving our products. Our powerful, user-friendly software allows business users from all industries to manage their data more efficiently and improve their bottom line. DataMatch Enterprise, our data quality software suite, found approximately 12%-300% more matches than the leading software companies IBM or SAS in 15 different studies. We have over 10 years of experience in R&D and counting. We are constantly improving our data-quality software solutions. This dedication has resulted in more than 4000 installations around the world.

With exceptional functionality for data integration, quality and cleansing, maximize the value of all structured and unstructured data in your organization. SAP Data Services software increases the quality of enterprise data. It is part of SAP's Information Management Layer. It delivers timely, relevant, and trusted information to help drive better business outcomes. Transform your data into a reliable, always-available resource for business insights and use it to streamline operations and maximize efficiency. Get contextual insight and unlock the true potential of your data with a complete view of all your information. Access to any size data and any source. Standardizing and matching data can improve decision-making and operational efficiency. This will reduce duplicates, identify relationships and address quality issues proactively. Use intuitive tools to unify critical data whether it is on-premise, in the cloud or within Big Data.

HighByte Intelligence Hub is an Industrial DataOps software solution designed specifically for industrial data modeling, delivery, and governance. The Intelligence Hub helps mid-size to large industrial companies accelerate and scale the use of operational data throughout the enterprise by contextualizing, standardizing, and securing this valuable information. Run the software at the Edge to merge and model real-time, transactional, and time-series data into a single payload and deliver contextualized, correlated information to all the applications that require it. Accelerate analytics and other Industry 4.0 use cases with a digital infrastructure solution built for scale.

Ataccama is a revolutionary way to manage data and create enterprise value. Ataccama unifies Data Governance, Data Quality and Master Data Management into one AI-powered fabric that can be used in hybrid and cloud environments. This gives your business and data teams unprecedented speed and security while ensuring trust, security and governance of your data.

Cloudingo makes managing customer data super simple, from deduping to importing to migrating. Salesforce is great for managing customers. Salesforce is great for managing customers. But it falls short when it comes to data quality. Data quality is a problem. There are duplicate records, customer data that doesn’t make sense, and reports that are a little...off. Do you sound familiar? You can only merge dupes one by one, native solutions, custom codes, and spreadsheets. It shouldn't be a problem to ensure the accuracy of customer data. Or spend a lot of time cleaning up and managing Salesforce. You've wasted too much time putting at risk relationships, losing opportunities, and dealing in chaos. It's time for you to change it. Imagine a tool that transforms your Salesforce data from a messy, confusing, and unreliable mess into a lead-nurturing, sales-producing machine.

Trusted by thousands of Salesforce administrators, the #1 global data quality tool. Increase productivity when managing large data sets. Identify duplicate data in any database table and remove them. Multi-table mass manipulation and standardization for Salesforce objects. A robust, customizable tool set can boost lead conversion. DemandTools' feature-rich data quality toolset allows you to clean, standardize, compare, and much more with DemandTools. Validity Connect gives you access to the EmailConnect module, which allows you to verify bulk email addresses on Contacts or Leads.

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.

Talend Data Fabric's cloud services are able to efficiently solve all your integration and integrity problems -- on-premises or in cloud, from any source, at any endpoint. Trusted data delivered at the right time for every user. With an intuitive interface and minimal coding, you can easily and quickly integrate data, files, applications, events, and APIs from any source to any location. Integrate quality into data management to ensure compliance with all regulations. This is possible through a collaborative, pervasive, and cohesive approach towards data governance. High quality, reliable data is essential to make informed decisions. It must be derived from real-time and batch processing, and enhanced with market-leading data enrichment and cleaning tools. Make your data more valuable by making it accessible internally and externally. Building APIs is easy with the extensive self-service capabilities. This will improve customer engagement.

MDO goes beyond master data management and automated data processing. MDO strengthens data standardization, governance, and harnesses your data to achieve strategic objectives. MDO uses a comprehensive governance structure. Active governance ensures that only clean, standardized, and enriched data is entered into your system. Passive governance allows for data validation and remediation throughout your system. MDO is a cloud-based application that can scale and comes with pre-defined business rules and data models. It seamlessly integrates with SAP, as well as other enterprise systems, by encompassing key master data areas such as assets, spares, suppliers, and business rules. MDO allows you to implement role-based governance policies. It also includes audit trails and workflows that allow for approval workflows. This fosters data ownership and increases data use across your organization. Data quality assurance framework is used to prepare, cleanse, enrich, and move data.

Organizations all over the globe are struggling to manage their data, regardless of industry. Stay ahead of the curve by using intelligent solutions. Shinydocs makes data management easy. We make it easy for people to find the information they need, by automating records management. Your employees won't require additional training or change in their work habits. Our cognitive suite analyzes all your data at machine speed. It provides many powerful tools that allow you to decode your data and gain meaningful insights to help you make better business decisions. Shinydrive, our flagship product, helps organizations realize the full potential and extract 100% value from their managed data. We deliver on the promise and offer the same exceptional execution in Data Management in the Cloud.

Oracle Enterprise Data Quality is a comprehensive data quality management system that helps to understand, improve and protect data quality. The software supports best-practice Master Data Management, Data Governance and Data Integration. It also provides integrated data quality in CRM, other applications, and cloud services. Oracle Enterprise Data Quality Address Server adds global address verification and geocoding capabilities to an Oracle Enterprise Data Quality Server.

CLEAN_Data is a collection enterprise data quality solutions that can be used to manage the ever-changing profiles of alumni, customer, vendor, student and employee contact data. CLEAN_Data solutions are essential in managing enterprise data integrity requirements. Runner EDQ offers integrated data solutions that can be relied upon, regardless of whether you're processing data in real-time or batch. CLEAN_Address is an integrated address verification solution that corrects, standardizes postal addresses within Oracle®, Ellucian® and other enterprise system (ERP, SIS HCM, CRM, MDM, MDM). Our seamless integration allows address correction at the point-of-entry and for existing data via batch or change of address processing. All address entry pages can be verified in real time using native fields from your CRM or SIS. Integrated batch processing formats and corrects existing address records.

Deliver tangible strategic value, quickly. With AI-driven automation, you can ensure end-to-end support of data quality requirements across users and data types. No matter what type of initiative your organization is working on--from data migration to next-gen analytics--Informatica Data Quality has the flexibility you need to easily deploy data quality for all use cases. Facilitate collaboration between IT and business stakeholders and empower business users. All use cases and all workloads require management of the quality of multicloud and on-premises data. Integrates human tasks into the workflow. Business users can review, correct, or approve exceptions during the automated process. To uncover relationships and detect problems, profile data is used to perform iterative analysis of data. AI-driven insights can automate the most important tasks and simplify data discovery to increase productivity.

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.

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.

DQ For Dynamics is a data management solution for MS Dynamics CRM. This software is specifically designed to give you customer data that you can trust. Our software is designed to give Dynamics 365 users and CRM administrators the ability to maintain and manage CRM data quality. DQ for Dynamics is integrated into Dynamics 365. It allows you to capture, cleanse, and consolidate records in your CRM system. This will give you a single customer view, and make your data suitable for business use. Duplicate review times can be reduced up to four times compared to the standard merge review. Our multi-record review screen allows you to easily set up rules and review duplicates. Increase the effectiveness of your sales tracking, marketing campaigns, and end-to–end reporting. To allow easy segmentation of CRM data, fix the route problem.

The SAP Agile Data Preparation app helps you achieve more success in data migration, analytics, and master data management (MDM). You can quickly transform your data into actionable, easily digestible information. It also simplifies how you access and discover data's shape to make you more productive and agile than ever before.

TIBCO Clarity is a data preparation tool that offers you on-demand software services from the web in the form of Software-as-a-Service. TIBCO Clarity can be used to profile, cleanse, standardize and standardize raw data from different sources. This will allow you to make informed decisions and get accurate data.

OpenRefine (previously Google Refine), is a powerful tool to work with messy data. It can clean it, transform it into another format, and extend it with web services or external data. OpenRefine keeps your data secure on your computer until you share it or collaborate with others. Unless you wish it to, your private data will never leave your computer. It works by installing a small server on your computer. You then use your web browser for interaction with it. OpenRefine allows you to explore large data sets easily. Watch the video below to learn more about this functionality. OpenRefine can link and extend your data with many webservices. OpenRefine can also upload your cleaned data to Wikidata.

Our multidomain, market-leading solution supports any master domain, implementation style, or use case. It can be used in the cloud or on premises. Integrates best-in class data integration, data quality management and data privacy. Trusted views of master data that are critical to business operations allow you to tackle complex issues head-on. Automatedly link master, transaction, or interaction data relationships across master domains. Contact data verification, B2B enrichment and B2C enrichment services increase data accuracy. With one click, update multiple master data records, dynamic models, and collaborative workflows. AI-powered match tuning, rule recommendations and optimization can reduce maintenance costs and speed up deployment. Use pre-configured, highly granular charts or dashboards to increase productivity. With trusted, relevant data, you can create high-quality data that will help you improve your business results.

Empower enterprise data teams with the ability to prevent costly outages before they happen. With efficient time-bound queries, you can quickly scale data quality checks throughout enterprise data pipelines without compromising performance. Utilizing AI models that are specific to DQ, you can monitor and identify data anomalies without having to manually set thresholds. Lightup's solution provides you with the highest level of data quality so you can make confident decisions. Data quality intelligence will help you make confident decisions. Dashboards that are flexible and powerful provide transparency on data quality and trends. Lightup's built in connectors allow you to connect seamlessly to any data source within your data stack. Replace manual, resource-intensive data quality checks with automated ones to streamline workflows.

Email Hippo provides email verification products for marketers, developers and fraud fighters. CORE is a self-service web app that allows users to import lists of up to 500,000 emails and check whether they are valid and trustworthy. This enables marketers to remove bad data from their email lists, reduce bounce rates and improve deliverability. MORE is Email Hippo's API product. It allows users to embed email verification directly within their sign-up forms, CRMs and other business apps. MORE checks every email against up to 74 data points for maximum accuracy and reliability. With ASSESS, users can check email addresses for specific pre-fraud indicators such as gibberish, recently registered domains and dark web links. ASSESS is also accessed via API and provides pre-fraud intelligence in real time. Email Hippo has provided email verification since 2000 and became ISO27001 certified in 2017.

We are a leader for Data Quality & ML Models for enterprises adopting a modern data management ecosystem, multi-cloud and ML. Algorithms for tracking Data Anomalies in Azure GCP and AWS databases. Measure and monitor data issues across all cloud database management tools, data silos and data silos using a single centralized tool. Quality is in the eyes of the beholder. Data issues can have different implications depending where you are in the enterprise. Qualdo was the first to organize all data quality issues from the perspective of multiple enterprise stakeholders and present a unified view. Use powerful auto-resolution algorithms for tracking and isolating critical data issues. Use robust reports and alerts for managing your enterprise regulatory compliance.

Qbot is an automated test engine that's designed to improve data quality. It can be used to enable large, complex data platforms. However, it is not dependent on the environment or ETL or Database technology. It can be used to test ETL platforms, upgrade databases, cloud migration, and deliver trusted data at a speed never before seen. It is the most complete Data quality automation engine available. It features data security, speed, scaleability, and the largest test library. This allows the user to directly pass the SQL query while configuring the test groups. The following database servers are currently supported for source and destination database tables.

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.

Digna is a solution powered by AI that addresses the challenges of data quality management in modern times. It is domain agnostic and can be used in a variety of sectors, including finance and healthcare. Digna prioritizes privacy and ensures compliance with stringent regulations. It's also built to scale and grow with your data infrastructure. Digna is flexible enough to be installed on-premises or in the cloud, and it aligns with your organization's needs and security policies. Digna is at the forefront of data quality solutions. Its user-friendly design, combined with powerful AI analytics, makes Digna an ideal solution for businesses looking to improve data quality. Digna's seamless integration, real time monitoring, and adaptability make it more than just a tool. It is a partner on your journey to impeccable data quality.

An enterprise solution that is powerful and real-time for cleaning, de-duping, enriching and enriching data. StarDQ Data Validation Solutions integrates with organizations to cleanse, match, and unify data across multiple data domains and sources. This creates a strategic, trustworthy and valuable asset that improves decision making, reduces expenses, and ensures seamless customer interaction. StarDQ Self Service Data Quality empowers business users to quickly prepare and match data sets using a visual interface. It also offers one-click fixes for duplicate, incomplete, or inaccurate data. Provide quick access to data integration, reusable cleaning & de-duplication rules for business users, data stewards, IT business analysts, and other business users.

Snowplow is a data collection platform that is best in class for Data Teams. Snowplow allows you to collect rich, high-quality data from all your products and platforms. Your data is instantly available and delivered to your chosen data warehouse. This allows you to easily join other data sets to power BI tools, custom reporting, or machine learning models. The Snowplow pipeline runs in your cloud (AWS or GCP), giving your complete control over your data. Snowplow allows you to ask and answer any questions related to your business or use case using your preferred tools.

Integrate directly into your Excel environment. No need to migrate or train. In minutes, create custom dashboards and queries. Self Service Analytics allows you to access data without having to wait for IT. IT manages governance, monitors data usage behavior, and security. This allows IT to focus on improving data quality, delivery, and governance. Clear Analytics aggregates data from a variety sources and then uses Microsoft's Power BI features. This allows you to wrangle filter, model, and visualize your insights. Clear Analytics can also publish datasets directly through the Power BI portal. Excel can be used as usual, but you have the added benefit of being able to access accurate data whenever you need it. No more searching your email for previous versions. All users can be data analysts and collaborate freely. This will increase their productivity. Increase productivity by giving departments secure and easy access to company data. Analysts are not the only ones that departments need to be able to access company data. Analysts are focused on high-impact work.

Clean & Match, WinPure's award winning data cleansing and data matching software suite is designed to improve the accuracy of consumer or business data. This software suite can be used to clean, correct, and deduplicate mailing lists, spreadsheets, CRMs, and databases. WinPure™, Clean & Match will save your business money and time. * Increase accuracy of any list, spreadsheet, database, CRM, etc. * Windows software is locally installed so you don't have to worry about security. All processing takes place on your own systems. * Use built-in phonetic and fuzzy match algorithms to save hours cleaning duplicate records from your databases or lists. * Low-cost licences with World Class Support & Training. * Free Demo with Live Online Training Available

The most popular Salesforce data loader allows you to import, export, and delete unlimited amounts data quickly and securely for your business. Our cloud solution is simple and easy to use. You can log in to dataloader.io using your Salesforce credentials. dataloader.io uses oAuth 2.0 to make it easy to get started quickly and without compromising security. You will spend less time mapping data from the source to Salesforce fields thanks to features like auto-mapping and keyboard shortcuts. You can export related objects in one pull. This eliminates the need to pull multiple data files manually and redundantly and allows you to reassociate them with Excel. You can import and export data quickly and easily from Box, DropBox and FTP repositories. You can schedule tasks to automatically import and export data on an hourly basis, daily, weekly, or monthly basis. MuleSoft's Anypoint Platform powers dataloader.io.

DealerVault® by Authenticom™ provides transparency and control through an easy-to-use web interface featuring single-click feed activation, deactivation and field customization. Send only the data that's necessary and send it quickly.

DataMatch Enterprise™, a highly visual data cleansing tool, is specifically designed to address customer and contact data quality problems. The platform uses a variety of proprietary and standard algorithms to identify phonetic and domain-specific variations. You can create scalable configurations that allow for deduplication, record linkage, suppression enhancement, extraction, standardization, standardization, and standardization of customer and business data. This will maximize the impact of your data throughout the enterprise.

Our data quality management solutions can be relied upon whether you are preparing for a migration or looking to gain reliable customer insight. WHAT DOES DATA QUALITY-MANAGEMENT MEAN? Experian offers powerful data profiling, data discovery and data cleansing and enrichment. Process orchestration is also possible. Full-volume analyses can also be performed with Experian. It's now easier than ever to gain insight into your business data. Our solutions enable you to connect seamlessly to hundreds of data sources to eliminate duplicates, correct errors, standardize formats, and remove duplicates. You will have a better understanding of your customers and business operations if you have better data quality.

The BiG EVAL platform provides powerful software tools to ensure and improve data quality throughout the entire lifecycle of information. BiG EVAL's data quality and testing software tools are built on the BiG EVAL platform, a comprehensive code base that aims to provide high performance and high flexibility data validation. All features were developed through practical experience gained from working with customers. It is crucial to ensure high data quality throughout the data lifecycle. This is essential for data governance. BiG EVAL DQM, an automation solution, supports you in all aspects of data quality management. Continuous quality checks validate enterprise data, provide a quality indicator, and support you in solving quality problems. BiG EVAL DTA allows you to automate testing tasks within your data-oriented project.

What is the Melissa Clean Suite? Melissa's Clean Suite (previously Melissa Listware), combats dirty data in your Salesforce®, Microsoft DynamicsCRM®, Oracle CRM® and ERP platforms. It verifies, standardizes, corrects, and appends your customer contact records. Clean, vibrant, and valuable data that you can use to achieve squeaky-clean omnichannel marketing success and sales success. * Correct, verify, and autocomplete contacts before they enter the CRM * Add valuable demographic data to improve lead scoring, segmentation, targeting, and targeting * Keep contact information current and clean for better sales follow-up and marketing initiatives *Protect your customer data quality with real-time, point-of-entry data cleansing or batch processing Data drives every aspect customer communication, decision making and analytics. Dirty data, which can be incorrect, stale or incomplete data, can lead to inefficient operations and an inaccurate view of customers.

Data plays an important role in many areas of a company, including sales, marketing, and finance. Data must be managed throughout its life cycle to get the most out of it. Uniserv's core philosophy and the products it offers is data quality. Our customized solutions make your customer master information the success factor for your company. The Data Quality Service Hub ensures that customer data quality is high at all levels of your company, including international. We can correct your address information according international standards and based upon first-class reference data. We can also check bank data, telephone numbers, and email addresses at different levels. We can search your data for redundant items based on your business rules. These items can be consolidated automatically using prescribed rules or manually sorted for reprocessing.

Automate the automatic coverage of thousands of tables using ML-based anomaly detection. 50+ custom metrics are also available. Monitoring of metadata and data. Comprehensive mapping of all dependencies between assets from ingestion to reporting. Collaboration between data consumers and data engineers is enhanced and productivity is increased. Sifflet integrates seamlessly with your data sources and preferred tools. It can run on AWS and Google Cloud Platform as well as Microsoft Azure. Keep an eye on your data's health and notify the team if quality criteria are not being met. In a matter of seconds, you can set up the basic coverage of all your tables. You can set the frequency, criticality, and even custom notifications. Use ML-based rules for any anomaly in your data. There is no need to create a new configuration. Each rule is unique because it learns from historical data as well as user feedback. A library of 50+ templates can be used to complement the automated rules.

In a developer-friendly visual editor, you can design, debug, run, and troubleshoot data jobflows and data transformations. You can orchestrate data tasks that require a specific sequence and organize multiple systems using the transparency of visual workflows. Easy deployment of data workloads into an enterprise runtime environment. Cloud or on-premise. Data can be made available to applications, people, and storage through a single platform. You can manage all your data workloads and related processes from one platform. No task is too difficult. CloverDX was built on years of experience in large enterprise projects. Open architecture that is user-friendly and flexible allows you to package and hide complexity for developers. You can manage the entire lifecycle for a data pipeline, from design, deployment, evolution, and testing. Our in-house customer success teams will help you get things done quickly.

D&B Optimizer removes bad data. Salespeople who trust their CRM will be more productive and have accurate, up-to-date data. This will allow them to target customers with pinpoint accuracy and provide a better customer experience. A happy, productive sales force! D&B Optimizer, a cloud-based platform that enhances your marketing and sales data, helps profile your best opportunities, reach your target audiences, and more. It offers advanced analytics and integration with your marketing systems via connectors for Salesforce or Microsoft. D&B Optimizer unlocks the potential value of your existing data and enhances the data you collect every single day. It also helps to drive more effective segmentation, targeting, and growth in your business. Sales and marketing teams face a difficult task of keeping data current. Salesforce estimates that 91 per cent of CRM data is incomplete and that 70 percent of that data degrades annually.

CleanCRM is a data cleansing program for your CRM. You don't need to do it manually to dedupe data. Our tool automates your workflow and allows you to dedupe in bulk. You can do what normally takes you hours or days. You can easily dedupe data. There are many data cleansing tools. CleanCRM makes it easy to clean up data. Cleaner, more reliable data will increase employee adoption and encourage more use of the CRM. You can see the video to learn how it works. Our data cleansing tool integrates directly into your CRM. You don't need to log in to another system. It takes only minutes to run a deduplication scan without having to import and export data. All records can be deduplicated: contacts, leads, accounts. You'll then be able to review all results and make an action. This process automatically labels duplicate sets, allowing you to quickly review and make edits. This intelligent tool will help you save time and money.

Enterprises can manage their data quality lifecycle proactively through contextual data checks, anomaly detection, and remediation. Expose anomalies, metadata and help teams take corrective action. Automate remediation workflows for quick and efficient error resolution. Maintain high data-quality and prevent errors from impacting business decisions. The SLA chart gives an overview of SLA. It includes the total number SLA monitoring performed and any violations. This chart will help you identify data areas that require further investigation or improvements.

Accel-DS is the only tool that can help you get started today. It uses drag and drop technology and zero coding. You can interactively see the results of your data set as you build it in a Spreadsheet-like interface. You can also apply data cleansing transformations using the same Spreadsheet. This innovative solution breaks down the traditional ETL development cycle of Write Code to Extract Transform, Load, Load, and finally View Results. From the ground up, this solution is for business / end users. Integrate data from any Database, XML or JSON, WSDL or Streams (Twitter and Sys Log). No programming required, simply drag and drop your data sources. Built for Big Data, ingest and cleanse data from any source into Hadoop / Big Data quickly. In minutes, load GBs of data from RDBMS or Files into Big Data. Both traditional data types and more complex data types like Structures, Maps, and Structures are supported.

Configero DataLoader makes data uploading, mass editing and cleansing easier than ever. It expands on the Apex DataLoader's capabilities by allowing users to filter records more efficiently and even displaying a preview of relevant records that can be mass edited or updated before Salesforce loads data. All objects supported, even custom objects. External ID matching against formula field. Each CSV file type is remembered mapping. Wizard-driven for simplicity and customization. Before loading data to Salesforce, preview and update data.

Enhance monitoring, visualization, remediation, reconciliation, and reconciliation to improve the quality of your data at-rest and in-motion. Data quality should be part of your company's DNA. To get a complete view of your data's journey throughout your organization, no matter where it is located, go beyond the basic quality checks. Continuous quality monitoring and point to-point reconciliation are essential for building trust in data and providing consistent insights. Data360 DQ+ automates data quality monitoring across the entire data supply chain, starting at the point information enters your organization. This allows you to monitor data in motion. Operational data quality includes validating counts and amounts across multiple sources and tracking timeliness to meet external or internal SLAs. Also, checks to ensure totals remain within set limits are examples.