Lytics Conductor vs Oracle Advanced Analytics comparison

IBM SPSS Statistics is a powerful data mining solution that is designed to aid business leaders in making important business decisions. It is designed so that it can be effectively utilized by organizations across a wide range of fields. SPSS Statistics allows users to leverage machine learning algorithms so that they can mine and analyze data in the most effective way possible.

IBM SPSS Statistics Benefits

Some of the ways that organizations can benefit by choosing to deploy IBM SPSS Statistics include:

• Ease of use. SPSS Statistics enables users to simply and intuitively take control of their statistical needs. The solution is designed so that analysts who do not know how to code can easily make full use of the various tools and capabilities that SPSS Statistics has to offer. Its command language is so straightforward that it does not require users to undergo special training before they use it.

• Comprehensive and flexible build. SPSS Statistics is designed to be both a comprehensive and highly flexible analytics solution. It enables users to utilize a variety of integrations that make it easy for users to add features that they might feel they are missing.

• Automation. SPSS Statistics makes it simple for users to automate basic tasks that they might otherwise devote too much time worrying about. Tasks like calculation or data gathering can be delegated to the system while more conceptual tasks like data analysis are given to an organization’s analysts to handle. 

IBM SPSS Statistics Features

• Intuitive user interface. SPSS Statistics enables users to deploy an intuitive interface that makes the process of system management simple. Among the other components of this interface is a drag-and-drop feature that makes analysis and management possible for anyone who wants to use it.

• Advanced data visualizations. Analysts that employ SPSS Statistics gain access to tools that empower them to create and export data visualizations. These visualizations can be formatted in many different ways depending on what the user needs.

• Local data storage. SPSS Statistics has the ability to securely store data on a user’s computer. This enables them to add layers of security that would not necessarily be present if the data was stored in the cloud.

Reviews from Real Users

IBM SPSS Statistics is a highly effective solution that stands out when compared to many of its competitors. Two major advantages it offers are the wealth of functionalities that it provides and its high level of accessibility.

An Emeritus Professor of Health Services Research at a university writes, "The most valuable feature of IBM SPSS Statistics is all the functionality it provides. Additionally, it is simple to do the five-way analysis that you can in a multidimensional setup space. It's the multidimensional space facility that is most useful."

A Director of Systems Management & MIS Operations at a university, says, “The SPSS interface is very accessible and user-friendly. It's really easy to get information from it. I've shared it with experts and beginners, and everyone can navigate it.”

Focus on driving efficiency and adding value with data — not collecting, connecting, or cleaning it up.

Make Conductor your data-stitching, ID-resolving, profile-building toolkit.

Pipeline management

Say goodbye to data silos and make all your data accessible and actionable

• Leverage hundreds of connections (including via webhooks) for collecting and sending data
• Collect and manage customer data with secure APIs & SDKs
• Handle data at petabyte scale in real-time
• Easily monitor healthy pipelines
• Load customer data into your data warehouse in minutes

Schema management

Save time by easily managing and updating schemas as you add new data and identifiers

• Unify all of your customer’s touchpoints across their journey
• De-duplicate, manage and resolve identities for more accurate, unified customer profiles
• Import SQL attributes from your warehouses to build better audiences
• Stay compliant with GDPR and data privacy regulations
• Visualize data sources and schema fields to customize C360 schema mappings directly within the user interface
• Leverage generative AI for augmented schema and data mapping with Lytics Schema Co-pilot.

Identity management

Unify your customer data, resolve identities & build unified customer profiles.

• Simplify identity management with pre-built and customizable rules
• Optimize customer profiles by merging behaviors
• Discover valuable insights into data stitching by exploring customer identity graphs
• Enhance your identity resolution strategy with powerful visualizations and cohesive data source relationships
• Explore identity resolution at a profile level

Oracle Advanced Analytics 12c delivers parallelized in-database implementations of data mining algorithms and integration with open source R. Data analysts use Oracle Data Miner GUI and R to build and evaluate predictive models and leverage R packages and graphs. Application developers deploy Oracle Advanced Analytics models using SQL data mining functions and R. With the Oracle Advanced Analytics option, Oracle extends the Oracle Database to an sclable analytical platform that mines more data and data types, eliminates data movement, and preserves security to anticipate customer behavior, detect patterns, and deliver actionable insights. Oracle Big Data SQL adds new big data sources and Oracle R Advanced Analytics for Hadoop provides algorithms that run on Hadoop.