SAS MDM Integrations

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To reduce the chances of reactive and fragmented decision-making within operations, it is crucial to adopt analytically driven business rules that can improve and streamline the decision-making process across the organization. The SAS Business Rules Manager serves as a centralized hub for these rules, providing a cohesive platform for managing the development, deployment, and automation of workflows. This system allows administrators to efficiently oversee user permissions, access, and security parameters from a single control point. Additionally, the embedded workflow features facilitate tailored processes while ensuring that every publishing action is documented and appropriately versioned. The platform also offers comprehensive oversight of rule capabilities, maintaining role-based security that guarantees users have the required authorizations. By utilizing analytical modeling, organizations can derive rules from their operational datasets, leading to the automatic generation of rule definitions and relevant terminologies. This method enhances not just decision-making but also contributes to a more dependable and uniform operational atmosphere. Ultimately, the integration of such analytical tools empowers organizations to make more informed decisions swiftly and effectively.

Power BI offers sophisticated data analysis capabilities, utilizing AI features to convert intricate datasets into informative visuals. By consolidating data into a unified source known as OneLake, it minimizes redundancy and facilitates smoother analysis workflows. This platform enhances decision-making processes by embedding insights into commonly used applications like Microsoft 365 and is further strengthened by Microsoft Fabric, which empowers data teams. Notably, Power BI is capable of scaling efficiently, managing large datasets without compromising performance, and integrates seamlessly within Microsoft's ecosystem for effective data governance. Its user-friendly AI tools foster the generation of precise insights and are complemented by robust governance protocols. The inclusion of the Copilot feature in Power BI allows users to create reports swiftly and efficiently. Individuals can access self-service analytics through Power BI Pro licenses, while the free version provides essential data connection and visualization functionalities. The platform is designed for user-friendliness and accessibility, supported by extensive training resources. Furthermore, a Forrester study highlights significant returns on investment and economic advantages associated with its use. Additionally, Power BI has received recognition in Gartner's Magic Quadrant for its execution prowess and comprehensive vision, affirming its position as a leader in the analytics market. Overall, its continuous evolution and integration with emerging technologies position Power BI as a vital tool for data-driven organizations.

Effortlessly connect your product to hotel information in mere minutes by securely accessing and updating various hotel systems through a comprehensive and well-documented JSON API. The ability to link your application to our Test Hotel almost immediately allows you to begin integrating with actual hotels in a matter of days instead of weeks. By utilizing a single, user-friendly universal REST API, Impala interfaces with a multitude of hotel systems, guaranteeing a streamlined connection for your needs. Our platform is built with bank-level security, fully compliant with GDPR regulations, and is hosted in multiple geographic locations to ensure greater reliability. Impala is positioned to be the premier integration solution for property management systems, freeing you from the hassle of managing numerous connections. As we consistently broaden our network of hotel systems, your business can tap into a more diverse selection of hotels every month. Understanding the significance of comprehensive data in contemporary hotel technology, Impala provides seamless two-way data exchange, enabling you to access guest details, process new transactions, or receive updates on rate changes effortlessly. With Impala, you can rest easy knowing that all your hotel data requirements are met with efficiency and security, allowing you to focus more on growing your business. This ensures that you stay ahead in a competitive market by leveraging the latest in technology and data management.

Make sure that reliable information is delivered to those in need by independently integrating and revealing data. Develop and share engaging reports while fostering your curiosity with intuitive analytics tools. Monitor key metrics diligently so that you can swiftly identify the root causes of any emerging issues and respond appropriately. Quickly gain insights through automated analyses enhanced by machine learning, complemented by clear natural language explanations. Explore all relevant data visually, enabling you to rapidly uncover hidden relationships. Striking visuals help in quickly grasping the insights provided by the data. The interactive visualizations, driven by analytics, are presented in a way that is easy for everyone to understand. No matter your level of expertise, you can confidently address complex inquiries. Seamlessly analyze, create, and share your results while trusting your instincts, all without needing to involve IT experts. This methodology empowers individuals to take control of their own analytical processes, fostering a more data-driven culture in the organization. By making analytics accessible to everyone, you pave the way for innovative solutions and informed decision-making.

Utilize AI, machine learning, intelligent automation, and advanced network visualization techniques to combat money laundering and terrorist financing. By proactively adapting to changing risks and regulatory requirements, SAS® has enabled financial institutions to achieve model accuracy exceeding 90%, reduce false positives by up to 80%, and increase SAR conversion rates by fourfold. The technology's ability to swiftly detect complex and emerging threats linked to money laundering and terrorist financing is enhanced by automated network and entity generation processes that produce network diagrams revealing hidden relationships. Moreover, advanced analytics streamline entity resolution by cross-referencing diverse data sources associated with a customer, correcting inconsistencies, addressing errors, and reconciling fragmented records to determine whether they refer to the same entity. Additionally, AML investigators are equipped with a flexible, intuitive alert and case management system that offers self-service capabilities, significantly improving workflow efficiency and productivity. This comprehensive strategy empowers financial institutions not only to maintain compliance but also to proactively confront future challenges, ensuring they remain resilient in an ever-evolving landscape. Ultimately, this positions them to better safeguard against financial crimes while enhancing their operational effectiveness.

Leverage an all-encompassing, AI-driven approach to effectively access, organize, select, and transform data derived from the Internet of Things. SAS Analytics for IoT encompasses the full analytics life cycle linked to IoT, featuring a seamless and flexible ETL process, a data model prioritizing sensor data, and a sophisticated analytics framework enhanced by an elite streaming execution engine that enables intricate multi-phase analytics. Built on SAS® Viya®, this solution functions adeptly within a rapid, in-memory distributed environment. Learn how to develop SAS Event Stream Processing applications that can manage high-volume and high-velocity data streams, providing instantaneous responses while retaining only crucial data elements. This course covers the fundamental concepts of event stream processing, explaining the various component objects that can be employed to create efficient event stream processing applications. Our dedication to curiosity fuels innovation, as SAS analytics solutions transform raw data into actionable insights, empowering clients worldwide to embark on ambitious new projects that promote growth. By embracing the future of data analytics with SAS, organizations can unlock a realm of endless possibilities and drive transformative change. Through this journey, businesses will not only enhance their operations but also gain a competitive edge in their respective industries.

The Apache Hadoop software library acts as a framework designed for the distributed processing of large-scale data sets across clusters of computers, employing simple programming models. It is capable of scaling from a single server to thousands of machines, each contributing local storage and computation resources. Instead of relying on hardware solutions for high availability, this library is specifically designed to detect and handle failures at the application level, guaranteeing that a reliable service can operate on a cluster that might face interruptions. Many organizations and companies utilize Hadoop in various capacities, including both research and production settings. Users are encouraged to participate in the Hadoop PoweredBy wiki page to highlight their implementations. The most recent version, Apache Hadoop 3.3.4, brings forth several significant enhancements when compared to its predecessor, hadoop-3.2, improving its performance and operational capabilities. This ongoing development of Hadoop demonstrates the increasing demand for effective data processing tools in an era where data drives decision-making and innovation. As organizations continue to adopt Hadoop, it is likely that the community will see even more advancements and features in future releases.

Easily import or retrieve your data from Hadoop and data lakes, ensuring it's ready for report generation, visualizations, or in-depth analytics—all within the data lakes framework. This efficient method enables you to organize, transform, and access data housed in Hadoop or data lakes through a straightforward web interface, significantly reducing the necessity for extensive training. Specifically crafted for managing big data within Hadoop and data lakes, this solution stands apart from traditional IT tools. It facilitates the bundling of multiple commands to be executed either simultaneously or in a sequence, boosting overall workflow efficiency. Moreover, you can automate and schedule these commands using the public API provided, enhancing operational capabilities. The platform also fosters collaboration and security by allowing the sharing of commands among users. Additionally, these commands can be executed from SAS Data Integration Studio, effectively connecting technical and non-technical users. Not only does it include built-in commands for various functions like casing, gender and pattern analysis, field extraction, match-merge, and cluster-survive processes, but it also ensures optimal performance by executing profiling tasks in parallel on the Hadoop cluster, which enables the smooth management of large datasets. This all-encompassing solution significantly changes your data interaction experience, rendering it more user-friendly and manageable than ever before, while also offering insights that can drive better decision-making.

Storage Spaces is a Windows and Windows Server feature aimed at protecting your data from hard drive malfunctions. Functioning similarly to RAID, it serves as a software-based solution. This feature allows users to merge three or more drives into a unified storage pool, which can then be divided into individual Storage Spaces. These spaces usually keep several copies of your data, providing a safeguard so that in the event of a drive failure, your information remains protected. Should you need more storage, adding extra drives to your existing pool is a straightforward process. Storage Spaces can be implemented in four main ways: on a regular Windows PC, on a standalone server that houses all the storage internally, on a clustered server that employs Storage Spaces Direct with local drives linked to each cluster node, and on a clustered server that uses one or more shared SAS storage enclosures for all drives. This flexibility not only accommodates the expansion of volumes on Azure Stack HCI but also enhances clusters operating on Windows Server, facilitating adaptable and robust data management. Ultimately, by utilizing these diverse configurations, users can customize their storage setups to align with their unique requirements effectively.

Unlock the potential of cutting-edge computing technology right at your fingertips. Thanks to advanced parallel processing and innovative algorithms, there's no reason to delay any further. Designed with data scientists in mind, particularly within the business sector, this comprehensive time-series platform offers unparalleled computing speed. Shapelets provides a robust array of analytical features, such as causality analysis, discord detection, motif discovery, forecasting, and clustering, among others. Users can also execute, enhance, and integrate their own algorithms within the Shapelets platform, fully harnessing the power of Big Data analytics. It seamlessly connects with various data collection and storage systems, ensuring compatibility with MS Office and other visualization applications, which simplifies the sharing of insights without requiring deep technical expertise. The user-friendly interface works in tandem with the server to deliver interactive visualizations, enabling you to effectively utilize your metadata and exhibit it through diverse modern graphical formats. Moreover, Shapelets empowers professionals in the oil, gas, and energy industries to perform real-time analyses of their operational data, thus improving decision-making processes and operational effectiveness. By leveraging Shapelets, you can turn intricate data into strategic insights that drive success and innovation in your field. This platform not only streamlines data analysis but also fosters a collaborative environment for teams to thrive.

To enhance decision-making efficiency and effectiveness at various organizational levels, it is crucial to utilize a robust suite of automation tools, scalability options, statistical knowledge, and transparency, all informed by our extensive global experience with utilities. As the energy grid undergoes continuous transformation, employing a forecasting platform capable of processing large data sets is vital for generating insights that penetrate down to the circuit level. SAS Energy Forecasting has proven its effectiveness in delivering comprehensive insights derived from these vast data pools. By offering results that are repeatable, scalable, traceable, and defensible, this solution markedly improves forecasting accuracy across numerous locations and levels of data aggregation. The forecasts generated are not only transparent and thoroughly documented but also enhance communication between internal teams and external stakeholders, thus helping to mitigate the risk of incurring substantial regulatory fines. Additionally, leveraging all available data enables the optimization of investments in smart meters and advanced metering infrastructure, which in turn leads to enhanced operational outcomes. This holistic strategy guarantees that utilities remain responsive and well-informed in an ever-evolving energy environment, ensuring they can adapt to changes swiftly and efficiently. By prioritizing these advanced methods and tools, organizations can position themselves favorably for future challenges in the energy sector.

No matter your level of marketing expertise, SAS delivers cutting-edge solutions that empower you to reevaluate your marketing approaches. Their tools for journey activation, adaptive planning, and a real-time decision engine enable you to create captivating, moment-driven customer experiences that not only boost profitability but also foster brand loyalty. You can seamlessly enhance customer data utilization beyond the constraints of traditional customer data platforms. With insights driven by state-of-the-art AI and machine learning, you can respond quickly and effectively to market changes. Furthermore, you can optimize and automate your marketing planning processes to guarantee maximum accountability across your campaigns. Crafting individualized customer journeys will not only increase engagement rates but also facilitate the generation of profitable leads. Collaborate widely with various teams, suppliers, vendors, or stakeholders to expand your brand's reach and impact. SAS Customer Intelligence 360 provides customized, intelligent marketing solutions that cater to the needs of modern businesses. By leading brands through the stages from data to insight and finally to action, SAS arms companies with robust tools for adaptive planning and journey activation, ensuring they remain competitive in an evolving market. Moreover, the incorporation of sophisticated analytics enables ongoing strategy refinement, helping businesses respond adeptly to dynamic consumer behaviors. This holistic approach ensures that every marketing effort is both strategic and measurable.

No matter where your data resides—be it in cloud platforms, legacy systems, or big data repositories like Hadoop—SAS Data Management equips you with essential tools to retrieve the information you need. By implementing data management standards once, you can consistently apply them, leading to an efficient and unified approach to enriching and consolidating data without incurring additional costs. IT staff frequently encounter tasks that extend beyond their usual responsibilities, but with SAS Data Management, business users are empowered to update data, modify workflows, and perform their own analyses, allowing your team to focus on other critical projects. This solution also includes a detailed business glossary, along with SAS and third-party metadata management and lineage visualization features, ensuring that everyone in the organization is on the same page. The seamless integration of SAS Data Management technology eliminates the hassle of managing disparate solutions; instead, all elements—from data quality to data federation—function within a cohesive framework, enabling smooth operations. Such an integrated system not only promotes collaboration but also significantly boosts overall productivity throughout your enterprise, making it easier to achieve your strategic goals. By streamlining processes and facilitating communication, SAS Data Management helps your organization respond more swiftly to changing business needs.

SAS Data Quality provides a solution that addresses your data quality issues right at their source, negating the necessity for data movement. This method allows for faster and more efficient operations while safeguarding sensitive data through role-based security protocols. It's important to recognize that maintaining data quality is an ongoing process rather than a one-time effort. Our solution guides you through every step of this journey, making it easier to profile data, detect problems, visualize information, and create repeatable practices to ensure high data integrity. With SAS, you benefit from an exceptional level of expertise in data quality, drawn from our vast experience in the industry. We recognize that assessing data quality often means examining data that may initially appear flawed to confirm its legitimacy. Our comprehensive tools include matching logic, profiling, and deduplication, which empower business users to adjust and enhance data on their own, thus relieving some of the burdens on IT teams. Furthermore, our ready-to-use features minimize the need for extensive coding, enhancing the accessibility of data quality management. In conclusion, SAS Data Quality equips you to effortlessly sustain high data quality standards while fostering a culture of continuous improvement. By leveraging our innovative solutions, organizations can realize better data-driven decisions and operational efficiencies.

Streamline the data mining workflow to accelerate the development of models and uncover key relationships while identifying the most impactful patterns. This process significantly shortens the time needed for data miners and statisticians to build effective models. An intuitive self-documenting process flow diagram environment illustrates the entire data mining methodology, ensuring optimal results. Additionally, it offers a broader selection of predictive modeling techniques compared to any other commercial data mining software on the market. Why accept anything less than superior tools? Business professionals and domain specialists lacking extensive statistical knowledge can effortlessly create their own models using SAS Rapid Predictive Modeler. Its easy-to-navigate interface leads them through a series of essential data mining tasks. The analytics results are displayed in clear charts, providing the transparency necessary for better decision-making. Harness advanced algorithms and industry-specific techniques to craft exceptional models. Moreover, validate the accuracy of outcomes through visual assessments and validation metrics, which guarantee a reliable modeling experience. This all-encompassing approach not only boosts model effectiveness but also equips users with the confidence to make well-informed decisions. Ultimately, embracing these innovative methodologies fosters a data-driven culture within organizations.