DATA ANALYTICS
Fast Track To Analytics: Cloud-Native Warehouse
Sovereign’s Data Analytics Platform provides a high-performance and near-zero management solution, with unlimited scale for every analyst.
Its unique architecture, and computing power dedicated to individual workloads, make it possible for thousands of self-service users to analyze all their data in real-time with no bottlenecks.
What are 4 types of Data Analytics?
Analytics is the discovery, interpretation, and communication of meaningful patterns in data. Especially valuable in areas rich with recorded information, analytics relies on the simultaneous application of statistics, computer programming and operations research to quantify performance.
Analytics encompasses a growing field of data science capabilities including statistics, mathematics, machine learning, predictive modeling, data mining, cognitive computing and artificial intelligence.
There are four categories of analytics that organizations need to consider:
Descriptive Analytics
Descriptive analytics or data mining are at the bottom of the big data value chain, but they can be valuable for uncovering patterns that offer insight. A simple example of descriptive analytics would be reviewing the number of people that visited the company’s website over the past few months. Descriptive analytics can be useful in the sales cycle, for example, in order to spot seasonal trends and to adjust purchasing decisions accordingly.
Diagnostic Analytics
Diagnostic analytics are used for discovery or to determine why something happened. In a social media marketing campaign for example, diagnostic analytics can be used to determine why certain advertisements resulted in increased conversion rates. Diagnostic analytics provide valuable insights for organizations, because it helps them understand which decisions impact the company’s performance.
Predictive Analytics
Predictive analytics is the use of advanced analytic techniques that leverage historical data to uncover real-time insights and to predict future events. The use of predictive analytics is a key milestone on your analytics journey — a point of confluence where classical statistical analysis meets the new world of artificial intelligence (AI). Predictive analytics can help you transform the way your business operates.
Prescriptive Analytics
Prescriptive analytics is the last and most valuable level of analytics. While Big Data analytics in general sheds light on a subject, prescriptive analytics gives you a laser-like focus to answer specific questions. For example, in the health care industry, you can better manage the patient population by using prescriptive analytics to measure the number of patients who are clinically obese, then add filters for factors like diabetes and LDL cholesterol levels to determine where to focus treatment.
Predictive Analytics
Analyze data and build analytics models to predict future outcomes. Uncover potential risks and opportunities for your organization.
Understand and Analyze Data
As the world’s leading statistical analysis software, IBM SPSS® Statistics is designed to solve business and research problems using ad hoc analysis, hypothesis testing, geospatial analysis and predictive analytics. Understand data, analyze trends, forecast and plan to validate assumptions and drive accurate conclusions.
Build Data Models
The IBM SPSS Modeler solution can help you tap into data assets and modern applications, with complete algorithms and models that are ready for immediate use. Explore the IBM-commissioned Forrester Consulting tool to learn how you can increase data science productivity and gain rapid ROI.
Deploy and Train Models for AI
IBM Watson® Studio Desktop is a leading data science and machine learning platform built from the ground up for an AI-powered business. Simplify the process of experimentation to deployment. Speed data exploration and model development and training. Scale data science operations across the lifecycle.
Why IBM predictive analytics?
A flexible and scalable platform for one-to-many analytics
User-friendly predictive analytics
Get ready access to deep analytical power with an award-winning, intuitive interface.
Comprehensive predictive analytics capabilities
Use an extensive library of machine-learning algorithms and statistical analyses in a single platform.
Open-source integration
Amplify the power of your analytical projects with R, Python and more.
Learn More About IBM‘s Data-Driven Insights!
Analytics for everyone, everywhere
Data to the people—responsibly
Extend the value of your data across your entire organization with Tableau Server. Empower your business with the freedom to explore data in a trusted environment—without limiting them to pre-defined questions, wizards, or chart types. Have the peace of mind that both your data and your analytics are governed, secure, and accurate. IT organizations love Tableau for its ease of deployment, robust integration, simplicity of scalability, and excellent reliability. You no longer have to choose between empowering the business or protecting your data – with Tableau you can finally do both.
Ask questions with natural language
Empower your organizations to ask questions from any published data source using natural language. With Ask Data, type a question and get answers in the form of a viz. Under the hood, Ask Data uses powerful algorithms to automatically profile, index, and optimize data sources. Plus with our end-to-end web authoring capabilities, it’s easy to add additional data sources or create fully interactive dashboards.
AI-driven explanations for your data
Leverage the power of AI to explain data points with a single click. Based on advanced statistical models, Explain Data helps you uncover insights you may not have found otherwise.
All your data
Connect to any data source securely – whether on-premises or in the cloud. Publish and share your data sources as live connections or encrypted extracts for everyone to use. Work with popular enterprise data sources like Cloudera Hadoop, Oracle, AWS Redshift, cubes, Teradata, Microsoft SQL Server, and more. Use our web data connector and APIs to access hundreds more data sources.
Governance that empowers the business
Governance without compromise. Centrally manage all of your metadata and security rules. Provide shared and curated data sources for your users. Gain visibility into usage to optimize your environment. Dial into the right combination of user flexibility and control.
Security your way
Whether you use Active Directory, Kerberos, OAuth, or another standard—Tableau seamlessly integrates with your existing security protocols. Manage authentication at the user and group level. Maintain the security of your database with pass-through data connection permissions and row-level filtering. Keep users and content secure with multi-tenancy options and fine-grained permissions control.
Flexible deployment
Whether you’re keeping your data on-premises or in the cloud, Tableau Server gives you the flexibility to integrate into your existing data infrastructure. Install Tableau Server on-premises, on either Windows or Linux, for ultimate control behind your firewall. Deploy on Public Cloud with AWS, Azure or Google Cloud Platform to leverage your existing cloud investment.
Empowering organizations with data
Tableau Server enables everyone in an organization to see and understand data, with offerings for every user type. Starting with casual users looking to make data driven decisions from a published dashboard, data enthusiasts who want to use web authoring to ask new questions from published data source, to data geeks who want to create and share their vizzes and data sources with the rest of the organization.
Powerful monitoring and management
The Tableau platform is easy to deploy, scale, and monitor. Easily track and manage content, users, licenses, and performance. Quickly manage permissions for data sources and content and monitor usage visually. For large deployments, our Server management Add-on brings additional monitoring, manageability and scalability benefits.
Better manage your data environment
Tableau Data Management helps you better manage the data within your analytics environment, ensuring that trusted and up-to-date data is always used to drive decisions. From data preparation, with Prep Conductor, to cataloging, search and governance, with Tableau Catalog, the Data Management Add-on will build trust in your data, accelerating the adoption of self-service analytics.
Enterprise-ready and enterprise-proven
Embedded Analytics
Empower your business by putting analytics where your employees, customers, partners, and suppliers need them. Embed interactive dashboards into your existing business portals, including applications like Salesforce, SharePoint, and Jive.
Reliability
Advanced high availability, robust failover, and fast disaster recovery is why the largest companies in the world choose Tableau for their enterprise analytics. Choose the right amount of redundancy to fulfill your business SLAs.
Scalability
Size your analytics for today’s needs, then easily scale up or out as your usage expands. Tableau architecture supports seamless scaling with no downtime. Transition to newer hardware easily or add more nodes for increased redundancy and capacity.
Innovation
Tableau’s software moves as fast as you do. We invest more in R&D than anyone else in the industry—and we are guided by requests from the best user community. Enterprise features have been at the core of the Tableau platform for years, and there’s more to come.
Get a complete view of the data with Tableau!
DATA SCIENCE
A Cloud Data Platform For Unified Data Science.
Big data is useless without analysis. The ability to capture, collect and analyze data @ cloud-scale is pivotal to turning enormous volumes of data into actionable insights.
The Data Cloud Platform delivers the performance, concurrency, and simplicity.
Consolidate your data from data warehouses, data marts, and data lakes into a single source of truth that powers multiple types of analytics and data science applications.
DATA CLOUD
A Modern Data Platform Breaks Down Information Silos
The Data Cloud Platform has a multi-cluster shared data architecture which delivers your data @ cloud-scale.
The scalable platform easily and securely enables a wide variety of workloads—data warehouses, data lakes, data pipelines, and data exchanges—and many types of business intelligence, data science, and data analytics applications.
BIG DATA
Capture, Store, Analyze & Deliver Data @ Cloud Scale.
The future of Big Data is the rise of what is called ‘fast data’ and ‘actionable data’.
Big Data, typically relies on Hadoop and NoSQL databases to analyze the information in the batch mode, fast data allows for processing in real-time streams.
Actionable data is the missing link between big data and business value. By processing data with the help of analytical platforms, organizations can make information accurate, standardized, and actionable.
AI + ML + DATA CLOUD
Artificial Intelligence & Machine Learning @ Cloud Scale
Traditional data warehouses and big data tools restrict how much data that data scientists and data analysts can store and analyze.
The Data Cloud Platform was built to seamlessly integrate and support the type of scalable applications data scientists rely on.
Our unlimited and affordable data storage and compute resources can rapidly scale to meet the demands of every user and every use case.
Digital Innovation Delivered!
We design, build and deliver technology-based innovations that create significant competitive advantage and revenue growth potential for our clients.