SAS Analytics for IoT Integrations

SAS Visual Statistics fosters collaborative data exploration, allowing multiple users to interactively create and refine predictive models. Data scientists and statisticians can apply the most appropriate analytical techniques to derive insights at an intricate level. As a result, insights can be discovered at impressive speeds, leading to new revenue growth opportunities. This platform permits the construction and optimization of models targeted at specific demographics or segments, while simultaneously exploring various scenarios. Such capabilities motivate users to raise numerous what-if questions to improve outcomes. Moreover, results can be operationalized through automatically generated score code, streamlining application processes. Users can visually manipulate the data by adding or modifying variables, removing outliers, and more, which enables them to instantly evaluate how changes affect the model's predictive accuracy, facilitating rapid adjustments. Data science teams benefit from the flexibility of working in their preferred programming languages, thereby maximizing their skill set. Ultimately, SAS Visual Statistics unifies all analytical resources into a holistic solution for data-driven decision-making. This integration creates an environment that nurtures innovation and expands the horizons of data analysis, enabling teams to push the limits of their analytical capabilities. Furthermore, the collaborative features of the platform enhance teamwork and knowledge sharing among users, driving better results through collective expertise.

SAS® Viya® presents a powerful and adaptable analytics platform that is highly efficient and straightforward to implement, empowering organizations to tackle various business challenges effectively. The platform automatically generates insights that assist in identifying the most commonly utilized variables in all models, showcasing essential variables chosen alongside evaluation results for each model. The inclusion of natural language generation allows for the creation of project summaries in clear language, making it easier for users to understand reports. Furthermore, analytics team members can improve the insights report by adding project notes, which fosters enhanced communication and collaboration within the team. SAS also supports the integration of open-source code into analyses, enabling users to seamlessly incorporate open-source algorithms within its framework. This adaptability promotes collaboration across the organization, as users can code in their language of choice. Additionally, users can take advantage of SAS Deep Learning with Python (DLPy), an open-source package accessible on GitHub, to further amplify their analytical capabilities. With the combination of these features, businesses can greatly improve their data-driven decision-making processes while fostering a more collaborative analytical environment. Overall, SAS Viya not only enhances efficiency but also encourages innovation within data analysis practices.

Markets are in a constant state of flux, necessitating a swift adjustment to your marketing strategy. Uptempo empowers you to plan, allocate resources, and implement actions with remarkable speed. With its robust, enterprise-level marketing operations platform, Uptempo enables teams to operate at an extraordinary velocity and adapt their strategies as market dynamics shift. Recognized as a leading SaaS provider, Uptempo delivers scalable and impactful marketing management solutions that instill confidence in enterprise marketers by offering them the visibility, control, and agility necessary to refine their marketing operations effectively. By streamlining the complexities associated with international marketing campaigns, budgets, and team workflows, Uptempo fosters collaboration across various cultures and organizational barriers, thereby optimizing efficiency and enhancing overall value. Independent research entities acknowledge Uptempo's prominent role in the marketing operations sector. Formed from the integration of BrandMaker and Allocadia, Uptempo was born from an ambitious vision aimed at empowering marketers to take charge confidently and find joy in their work. This commitment to innovation and excellence sets Uptempo apart as a transformative force in the marketing landscape.

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.

Integrating master data management solutions with SAS 9.4 allows SAS MDM to function through a web-based interface that can be accessed via the SAS Data Management Console. This integration ensures that organizations have a unified and accurate view of their data by merging information from various sources into a single master record. Furthermore, the capabilities of SAS® Data Remediation and SAS® Task Manager complement SAS MDM and enhance other SAS offerings, such as SAS® Data Management and SAS® Data Quality. SAS Data Remediation empowers users to identify and resolve issues that arise from business rules in both batch processes and real-time scenarios within SAS MDM. On the other hand, SAS Task Manager acts as an effective tool that integrates effortlessly with SAS Workflow technologies, enabling users to oversee workflows triggered by different SAS applications with convenience. By facilitating the initiation, completion, and modification of workflows submitted to the SAS Workflow server, this unified ecosystem allows organizations to uphold effective data management strategies. Ultimately, the combination of these technologies establishes a strong foundation for the proficient management of master data, ensuring that organizational data remains accurate and reliable.

Excelero provides a cutting-edge distributed block storage solution designed for high-performance web-scale applications. With its NVMesh technology, users can seamlessly access shared NVMe resources across any network while ensuring compatibility with both local and distributed file systems. The platform features an advanced management layer that hides the complexities of the underlying hardware, incorporates CPU offload capabilities, and enables the easy creation of logical volumes with integrated redundancy, all while offering centralized oversight and monitoring functions. This design allows applications to harness the rapid speed, throughput, and IOPS of local NVMe devices, alongside the advantages of centralized storage, without dependency on proprietary hardware, significantly reducing overall storage costs. Additionally, the distributed block layer of NVMesh allows unmodified applications to benefit from pooled NVMe storage resources, achieving performance that rivals local access. Users also have the ability to dynamically create customizable block volumes accessible by any host with the NVMesh block client, which greatly enhances both flexibility and scalability in storage environments. This innovative strategy not only maximizes resource efficiency but also streamlines management across various infrastructure setups, paving the way for future advancements in storage technology. Ultimately, Excelero’s solution stands out in the market for its ability to drive performance and efficiency in storage systems.

Omnio is a groundbreaking startup that is transforming the way devices are integrated for industrial IoT with its user-friendly plug-and-play solutions. Historically, the process of data extraction from industrial devices required significant time and financial investment, creating barriers for many businesses. With Omnio, integrating any industrial device into your IoT application can be done in mere moments, allowing you to focus on refining your application rather than dealing with device connectivity issues. Our comprehensive library features pre-built connectors for thousands of industrial devices, enabling you to stream unified data in just a few minutes. Omnio guarantees that all device data is automatically standardized into a cohesive data model, making it immediately usable for your needs. By leveraging our pre-built connectors, you can avoid the tedious tasks of studying device manuals, coding, or testing, as we handle all the complexities for you. Our straightforward SaaS pricing model makes it easy to factor device integration costs into your business planning, no matter the circumstances. Additionally, Omnio’s software simplifies the entire integration process from the source to the destination, ensuring that your application has immediate access to cohesive data. This efficient approach not only saves time but also allows you to concentrate on the essential aspects of your business, fostering growth and innovation. Ultimately, with Omnio, the future of industrial IoT integration is not just easier—it's more accessible than ever.

Discover the transformative potential of automation that delivers sophisticated business intelligence reporting right to your fingertips! DataTerrain stands as your ally in crafting Oracle Transactional Business Intelligence (OTBI) reports, capitalizing on the robust features of HCM extracts. Our expertise in HCM analytics and report creation is backed by stringent security protocols and has been validated through successful partnerships with leading clients across North America. We are happy to share testimonials and display our collection of pre-built reports and dashboards to highlight our strengths. Additionally, Oracle's comprehensive cloud talent acquisition suite, Taleo, integrates recruitment marketing and employee referral initiatives, streamlining the recruitment process and improving the onboarding experience for new hires. Over the last ten years, we have effectively delivered reports and dashboards for over 200 clients worldwide, reinforcing our standing in the market. DataTerrain's knowledge also extends to Snowflake, Tableau Analytics/reporting, Amazon's Quicksight analytics/reporting, and Jasper studio reporting, positioning us as a holistic provider for Big Data requirements. By selecting DataTerrain, you are making a commitment not just to outstanding reporting solutions, but to a partnership with a team that is wholeheartedly focused on empowering your data-driven decision-making journey while ensuring continuous innovation in our offerings.

The HPE Consumption Analytics Portal functions as the analytical and metering component of HPE GreenLake, a flexible and cost-effective IT solution offered by HPE Pointnext Services, which merges the advantages of public cloud services with the security of an on-premises data center. This platform delivers comprehensive insights into your consumption habits and financial outlays via interactive dashboards along with a user-friendly drag-and-drop reporting system. By utilizing customizable budgeting options and a suggestion engine tailored to usage data for consumption-focused services, you can proficiently manage your IT costs. Furthermore, the portal's predictive capabilities help you anticipate demand, preventing potential shortages that could disrupt operations, thereby allowing for strategic capacity planning. Embedded within HPE GreenLake, the HPE Consumption Analytics Portal promotes transparency, enabling a clearer understanding of how your usage and commitments influence monthly expenses. Ultimately, this tool empowers you to make informed decisions regarding capacity planning, ensuring that your workloads operate at peak performance while adapting to changing needs. In doing so, it not only simplifies financial oversight but also enhances operational efficiency.

A dedicated speaker recognition system tailored for forensic experts, utilizing cutting-edge deep neural network technology, facilitates rapid and precise language-independent forensic vocal assessments. This sophisticated speaker identification software automatically examines a person's voice, assisting forensic analysts with reliable and unbiased vocal evaluations. Phonexia Voice Inspector has the capability to recognize speakers from recordings in any language. Additionally, it produces a comprehensive report that includes all the essential information needed to substantiate claims, enabling the effective presentation of forensic vocal analysis findings in court. By offering police and forensic professionals an exceptionally accurate speaker recognition solution, Phonexia Voice Inspector plays a crucial role in aiding criminal investigations and delivering vital evidence during legal proceedings. Its innovative features not only enhance the accuracy of speaker identification but also improve the overall efficiency of forensic analysis.

In times of considerable global economic upheaval, executive teams must promptly reassess their strategies, objectives, and focal points. While some may opt for a more cautious approach, others may seize the unexpected chance to drive meaningful change within their organizations. Today, there is a unique opportunity to redefine businesses, which encompasses the adoption of agile operational practices, boosting innovation, and enhancing customer engagement, all while discovering new revenue avenues, trimming expenses, and potentially implementing these transformations on an unprecedented scale. The Capgemini Intelligent Automation Platform emerges as a tailored, plug-and-play solution that streamlines the delivery of IT, application services, and business operations, ensuring that intelligent automation can reach its maximum potential, allowing companies to gather significant value effortlessly and at scale. By shifting organizations from a limited, operations-focused perspective of automation to a broad, enterprise-wide implementation approach, the CIAP enhances effectiveness and efficiency across all departments. As companies undergo this transformation, they not only navigate current challenges adeptly but also set themselves up for long-term success and resilience, ensuring they remain competitive in a rapidly changing marketplace. This proactive approach can lead to a sustainable competitive advantage that supports growth and stability in the face of future uncertainties.