A fully managed cloud data warehouse, purpose-built for analytics. It offers MPP scale and seamless compatibility with a wide range of business intelligence tools.
A managed NoSQL database service that moves application data closer to all the places it needs to be — for uninterrupted data access, offline or on.
SES BigInsights™ for Apache™ Hadoop is an industry standard Hadoop offering that combines the best of open source software with enterprise-grade capabilities.
With IBM Db2 database SES offers extreme performance, flexibility, scalability and reliability for any size organization.
The Finacle Analytics solution can analyze different data types – unstructured data from sources such as emails and social media sites, structured data from enterprise systems and semi-structured data from ATM logs or web logs.
It integrates banking data models and new-age open source technologies to rapidly develop and deliver actionable insights.
The Finacle Analytics solution is built for the unique requirements of banks. The solution is built using new-age open-source technologies and offers real-time analytics with features such as in-memory processing and instant data visualization.
Finacle has proven expertise in providing exclusive analytical solutions for the banking industry
Capability to analyze both unstructured and structured data
Enhanced access control and security layer
Real-time analytics capability with in-memory processing and instant data visualization
Self-service options and rich visualizations enable users to derive business insights with ease
Based on open-source technologies, can be implemented on non-proprietary hardware
Personalized products with behavioural analytics
Predictive data modelling
Real-time analytics for faster decision-making
Instant data visualization
Enterprise level analytics
Lesser costs with non-proprietary hardware
Banking is changing faster than ever before, and so are your customers. Rapid technology advances are radically changing the way customers interact and do business with your bank.
Your retail customer today is far more informed, networked and vocal.
They expect a level of personalization and banking experience that is on par with new age digitally driven businesses, and are willing to switch loyalties to get that.
Your bank will need comprehensive insight, develop deeper connections, drive continuous innovation and personalization, in both offerings and experience.
Built on advanced architecture, Finacle Core Banking Solution offers a comprehensive suite of capabilities to power banks' digital transformation.
Oracle Data Science is a collaborative, open, and enterprise-grade platform that helps data science teams become more productive and effective. Oracle Advanced Analytics delivers parallelized in-database implementations of data mining algorithms and integration with open source R.
Machine Learning product family enables scalable data science projects. Data scientists, analysts, developers, and IT can achieve data science project goals faster while taking full advantage of the Oracle platform.
It consists of complementary components supporting scalable machine learning algorithms for in-database and big data environments, notebook technology, SQL and R APIs, and Hadoop/Spark environments.
In-Database Processing: “Move the algorithms, not the data!”—Process data where it resides to eliminate data movement and further leverage your Oracle environment as a high performance compute engine with parallel, distributed algorithms.
Machine Learning for Spark—With Big Data SQL and Oracle Machine Learning for Spark, process data in data lakes using Spark and Hadoop.
Rapidly Deploy Machine Learning Applications—Because in-database machine learning models are native SQL functions, model deployment is immediate via SQL and R scripts.
Predictive Analytics is a technology that captures data mining processes in simple routines. It develops profiles, discovers the factors that lead to certain outcomes, predicts the most likely outcomes, and identifies a degree of confidence in the predictions.
Predictive analytics uses data mining technology, but knowledge of data mining is not needed to use predictive analytics.
The predictive analytics routines analyze the input data and create mining models. These models are trained and tested and then used to generate the results returned to the user. The models and supporting objects are not preserved after the operation completes.
Oracle Data Mining implements predictive analytics in the PL/SQL and Java APIs.
SAP Predictive Analytics is business intelligence software from SAP that is designed to enable organizations to analyze large data sets and predict future outcomes and behaviours.
It is an advanced analysis tool primarily for data scientists that automated manual analysis
SAP HANA Predictive Analytics allows customers to leverage pre-built algorithms that facilitate them really “see” their data in a new way.
SAP Cloud Analytics (or SAP Cloud for Analytics) is software as a service (SaaS) business intelligence (BI) platform designed by SAP. Analytics Cloud is made specifically with the intent of providing all analytics capabilities to all users in one product.
Create, deploy, and maintain thousands of predictive models with SAP Predictive Analytics software. This on-premise product can help you anticipate future behaviour and outcomes – and guide better, more profitable decision-making across your digital business.
On-premise deployment
Full connectivity to Big Data and third-party data sources
Native integration with the SAP ecosystem
Achieve faster, more accurate business outcomes.
Automate the entire predictive modelling process with self-services designed to give you a broad set of reusable analytical records to model data sets instantly.
Embed and extend predictive results for better insights.
Incorporate predictive analytics into line-of-business applications and business processes to gain critical insight into your business and get more work done.
Scale your end-to-end predictive lifecycle
Let business analysts and data scientists use automation to build sophisticated predictive models that can be embedded in business processes – in days, not weeks or months.
Provide end-to-end model management, maintain peak performance for thousands of predictive models, and schedule updates as needed.
Create predictive models for various target systems and embed results directly. Individualize variable contributions, and simulate and score a specific question in real time.
Become a best-run business by connecting people, business networks, the Internet of Things, and Big Data with our real-time enterprise resource management suite for digital business; deployed in the cloud or on premise.
Big data analytics examines large amounts of data to uncover hidden patterns, correlations and other insights. With today’s technology, it’s possible to analyze your data and get answers from it almost immediately – an effort that’s slower and less efficient with more traditional business intelligence solutions.
The new benefits that big data analytics brings to the table, however, are speed and efficiency.
Big data analytics helps organizations harness their data and use it to identify new opportunities.
That, in turn, leads to smarter business moves, more efficient operations, higher profits and happier customers.
In his report Big Data in Big Companies, IIA Director of Research Tom Davenport interviewed more than 50 businesses to understand how they used big data. He found they got value in the following ways:
Cost reduction. Big data technologies such as Hadoop and cloud-based analytics bring significant cost advantages when it comes to storing large amounts of data – plus they can identify more efficient ways of doing business.Faster, better decision making. With the speed of Hadoop and in-memory analytics, combined with the ability to analyze new sources of data, businesses are able to analyze information immediately – and make decisions based on what they’ve learned.
New products and services.
Who’s using it?
Clinical research is a slow and expensive process, with trials failing for a variety of reasons. Advanced analytics, artificial intelligence (AI) and the Internet of Medical Things (IoMT) unlocks the potential of improving speed and efficiency at every stage of clinical research by delivering more intelligent, automated solutions.
Financial institutions gather and access analytical insight from large volumes of unstructured data in order to make sound financial decisions.
Big data analytics allows them to access the information they need when they need it, by eliminating overlapping, redundant tools and systems.
For manufacturers, solving problems is nothing new. They wrestle with difficult problems on a daily basis - from complex supply chains, to motion applications, to labour constraints and equipment breakdowns. That's why big data analytics is essential in the manufacturing industry, as it has allowed competitive organizations to discover new cost saving opportunities and revenue opportunities.
Big data is a given in the health care industry. Patient records, health plans, insurance information and other types of information can be difficult to manage – but are full of key insights once analytics are applied.
Certain government agencies face a big challenge: tighten the budget without compromising quality or productivity. This is particularly troublesome with law enforcement agencies, which are struggling to keep crime rates down with relatively scarce resources.
Customer service has evolved in the past several years, as savvier shoppers expect retailers to understand exactly what they need, when they need it.
Big data analytics technology helps retailers meet those demands.
Data management
Data mining
Hadoop
In-memory analytics
Machine Learning
Predictive analytics
Data Integration & Access
Data Quality
Data Governance
In-Database Technologies etc.,
The SPSS software platform offers advanced statistical analysis, a vast library of machine-learning algorithms, text analysis, open-source extensibility, integration with big data and seamless deployment into applications.
Its ease of use, flexibility and scalability make accessible to users with all skill levels and outfits projects of all sizes and complexity to help you and your organization find new opportunities, improve efficiency and minimize risk.
Propel research and analysis with a fast and powerful solution
SPSS Statistics is the world’s leading statistical software designed to solve business and research problems by means of ad hoc analysis, hypothesis testing, geospatial analysis and predictive analytics. Organizations use SPSS Statistics to understand data, analyze trends, forecast and plan to validate assumptions and drive accurate conclusions.
Propel research & analysis with a fast and powerful solution
Work inside a single, integrated interface to run descriptive statistics, regression, advanced statistics and many more. Create publication ready charts, tables, and decision trees in one tool.
Integration with Open Source
Enhance the SPSS Syntax with R and Python through specialized extensions. Leverage the more extensions available on our Extension Hub, or build your own and share with your peers to create a customized solution.
Easy statistical analysis
Use a simple drag and drop interface to access a wide range of capabilities and work across multiple data sources. Plus, flexible deployment options make purchasing and managing your software easy.
A predictive analytics platform that brings predictive intelligence to decisions made by individuals, groups, systems and the enterprise.
Gain insights quickly from all your data sources with powerful predictive analytics
SPSS Modeller is a graphical data-science and predictive-analytics platform designed for users of all skill levels to deploy insights at-scale to improve their business.
SPSS Modeller supports the complete data-science cycle, from data understanding to deployment, with a wide range of algorithms and capabilities, such as text analytics, geospatial analysis and optimization. SPSS Modeller is a leading visual data science and machine-learning solution.
It facilitate enterprises accelerate time to value and achieve desired outcomes by speeding up operational tasks for data scientists. Leading organizations worldwide rely on data preparation and discovery, predictive analytics, model management and deployment, and machine learning to monetize data assets.
SPSS Modeller empowers organizations to tap into data assets and modern applications, with complete algorithms and models that are ready for immediate use.
It's suited for hybrid environments to meet robust governance and security requirements. SPSS Modeller facilitates you:
Empower data scientists of all skills — programmatic and visual
Exploit a hybrid approach — on premises and in the public or private cloud
Start small and scale to an enterprise-wide, governed approach
Take advantage of open source-based innovation, including R or Python
An integrated family of products that addresses the entire analytical process, from planning to data collection to analysis, reporting and deployment.
SPSS predictive analytics software offers advanced techniques in an easy-to-use package to help you find new opportunities, improve efficiency and minimize risk.
Cognos Analytics on Cloud
Get the self-service you expect, data governance you require, and reporting you trust with a secure business intelligence software-as-a-service (SaaS) solution.
Create a platform that can make predictive analytics easier for big data.
Get descriptive and predictive analytics, data preparation and real-time scoring.
Easily use structural equation modelling (SEM) to test hypotheses on complex variable relationships and gain new insights from data.
Predictive analytics for education
Supporting excellence and innovation in education through predictive analytics
SPSS Statistics – featured industries
Providing unique insights on industry use cases with SPSS Statistics
Government
Healthcare
Nonprofits
Market Research
Professional Services
Find out more about how we can help your organization navigate its next. Let us know your areas of interest so that we can services you better.