Best Data Management Software for SAS MDM

All the information you need is at your fingertips. Integrate and discover data by yourself. Create and share interactive reports. Easy-to-use analytics will spark your curiosity. Monitor key metrics to find out what's happening and what you can do. Automated analysis supported by machine learning provides quick insights with simple-to-understand explanations in natural language. Visually explore all relevant data and spot hidden relationships. Visuals that are compelling and easy to understand will help you quickly grasp the meaning of the data. Analytics-backed interactive visualizations are explained in terms that everyone can understand. Visuals that are compelling will help you quickly understand the data. Analytics-backed interactive visualizations are easy to understand. No matter what your level of skill, you can ask difficult questions. You can easily explore, create, and share. Follow your instincts. There is no need to engage IT.

SAS marketing solutions can help you reimagine marketing, regardless of your marketing maturity. SAS marketing solutions include adaptive planning, journey activation, and a real time decision engine. These enable you to create memorable customer experiences that increase profitability and build brand loyalty. You can seamlessly enhance and extend customer data activation beyond the traditional customer data platform. Advanced AI and machine learning enable you to act faster by leveraging out-of-the box insights. Optimize marketing planning for maximum accountability by automating, speeding up and streamlining it. Personalize customer journeys to increase response rates and generate leads. Other functions, suppliers, vendors, and stakeholders can help you deliver a wider brand experience. SAS Customer Intelligence 360 delivers purpose-built, intelligent marketing for today's modern enterprises. SAS helps brands move from data to insight to action with rich functionality that allows for adaptive planning, journey activation, and more.

SAS Data Management allows you to access your data regardless of where it is stored. You can create data management rules once and then reuse them. This gives you a consistent, repeatable way to improve and integrate data without extra cost. It's easy to get involved in tasks that are not your normal duties as an IT expert. SAS Data Management allows your business users to update data and tweak processes, as well as analyze results. This frees you up to work on other projects. A built-in business glossary, along with SAS and third-party metadata management, and lineage visualization capabilities, keeps everyone on the same page. SAS Data Management technology is fully integrated. This means that you don't have to use a solution that has been thrown together. All components of SAS Data Management technology, from data quality to federation technology, are part and parcel of the same architecture.

Apache Hadoop is a software library that allows distributed processing of large data sets across multiple computers. It uses simple programming models. It can scale from one server to thousands of machines and offer local computations and storage. Instead of relying on hardware to provide high-availability, it is designed to detect and manage failures at the application layer. This allows for highly-available services on top of a cluster computers that may be susceptible to failures.

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.

Powerful computing at your fingertips. Parallel computing and innovative algorithms are available. What are you waiting for?! This tool is designed to empower data scientists in the business. You can get the fastest computing through an all-inclusive platform that covers time-series. Shapelets offers analytical features such as forecasting, clustering and motif discovery, discords, and causality. To make Big Data analysis more efficient, you can run, extend, and integrate your own algorithms in the Shapelets platform. Shapelets can be integrated seamlessly with any data storage and collection solution. It can also be integrated with MS Office and any other visualization software to simplify and share your insights without needing any technical knowledge. Interactive visualizations are possible because our UI integrates with the server. Our modern interface allows you to make the most out of your metadata and present it in the various visual graphs available. Shapelets allows users in the oil, gas, or energy industry to analyze operational data in real-time.

To quickly develop models, streamline the data mining process. Learn the key relationships. Find the most important patterns. Your data miners and statisticians will be able to significantly reduce the time it takes to create models. A self-documenting interactive process flow diagram environment maps the entire data mining process for the best results. It also has more predictive modeling techniques that any commercial data mining program. Why not choose the best? SAS Rapid Predictive Modeller is available for business users and subject-matter specialists with limited statistical skills. A simple-to-use GUI guides them through the data mining process. Analytics results are presented in simple-to-understand charts that provide insights necessary for better decision-making. Use industry-specific methods and innovative algorithms to create models that are more efficient. Visual assessment and validation metrics are used to verify results.

SAS Data Quality is available to you wherever you are. It addresses your data quality issues without you having to move your data. You will work faster and more efficiently, and sensitive data won't be at risk with role-based security. Data quality is not something you do once. It's a process. We can help you at each stage. It's easy to identify and fix problems, preview data and set up repeatable processes that will ensure data quality. SAS is the only company that can provide this level of data quality knowledge. SAS has been there and done it all. We have incorporated that experience into our products. Data quality can be as simple as looking at things wrongly and then confirming that they are correct. How? With matching logic. Profiling. Deduplicating. SAS Data Quality gives business users the ability to update and modify data, so IT is not spread too thin. Out-of-the-box capabilities don't require extra coding.