Oracle Eloqua offers a suite of marketing tools to automate the sending of advertisements through email, mobile devices, video, and search engine results pages. The solution promises to increase sales and conversion numbers while helping you understand your customers for improved marketing efforts. Eloqua tracks and analyses customer activity, visitor behavior, opened emails, and other data. It also saves, organizes, and analyzes important information about current and potential clients, such as names, contact information, locations, and purchase history.
Amazon Kinesis is a powerful analytics solution that overcomes the batch-processing challenges of Hadoop — and similar solutions — which don't allow real-time precision in decision-making because they can't rapidly process high volumes of streaming data. With its ability to process hundreds of terabytes of streaming data per hour, Kinesis allows you to develop apps that rely on real-time data to fuel AI analytics, machine learning insights, and other applications. Kineses enables instant responses by eliminating the delay associated with batch processing.
Bring all your Eloqua data to Amazon Redshift
Load your Eloqua data to Google BigQuery
ETL all your Eloqua data to Snowflake
Move your Eloqua data to MySQL
Bring all your Amazon Kinesis data to Amazon Redshift
Load your Amazon Kinesis data to Google BigQuery
ETL all your Amazon Kinesis data to Snowflake
Move your Amazon Kinesis data to MySQL
Marketers can use Eloqua to analyze and measure their customer data, online and offline through multiple channels and sources. Through one interface, you'll gain access to data on customer profiles, user behavior, and marketing campaigns. This allows you to identify potential buyers, determine what triggers purchases, and send real-time responses to customers and users.
Eloqua's out-of-the-box design editing tools empower users without HTML or CSS coding experience to build responsive emails, forms, and landing pages. With Eloqua's drag-and-drop interface, it's easy to set up personalized marketing campaigns. Also, a whiteboard feature allows you to map each stage of your marketing campaigns, giving managers the ability to modify steps, add new assets, or pause the campaign.
Eloqua empowers non-tech-savvy users to pull reports on customer profiles and user behavior records without involving the IT team. Running lead scoring models on contacts is simple, and a listener framework notifies marketers of lead scoring changes as soon as they occur.
Eloqua's marketing measurement tools offer actionable insights into the success of your marketing efforts through high-level overviews and up-close, granular investigations. As an Oracle product, Eloqua's data is compatible with Oracle's business intelligence platform, which organizes data into the reports and dashboards that come standard with the system. You can also set up customized dashboards and reports to suit your needs.
The sales enablement features included with Eloqua integrate the efforts of your sales and marketing teams so they can work together to achieve better results. These features give sales teams granular information on individual leads (like web and social media activity), which allows you to send targeted and closely-tracked emails to leads that fit specific profiles. The sales enablement features also integrate with your CRM, Microsoft Outlook, LinkedIn, PathFactory, Mintigo, and Demandbase data to provide more information on each contact.
Amazon Kineses Video Streams allow you to safely ingest streaming video data from millions of linked devices into AWS for machine learning, analytical, and other processing purposes. The platform then encrypts, stores, and indexes the video data so you can access video with simple APIs, play live video streams, and offer on-demand playback. When incorporating this technology with Amazon Rekognition Video, TensorFlow, ApacheMxNet, and OpenCV, Amazon Kineses Video Streams makes it possible to build video analytics and computer vision processes into your applications.
By capturing, processing, and storing data streams, Amazon Kinesis offers a real-time data streaming solution to ingest large amounts of information from hundreds of thousands — even millions — of sources at the gigabytes-per-second scale. The massive scalability of this solution lets you capture and produce immediate analytics on data pertaining to financial transactions, database event streams, location tracking data, clickstreams, social media activity, and more. Since the availability of streaming data happens in milliseconds, the platform enables real-time analytics of this information for instant detection of anomalies, dynamic price adjustments, precise dashboard metrics, and more.
Amazon Kinesis Data Firehose provides a simple and durable way to pull your streaming data into data warehouses, data lakes, and analytics solutions. Due to its compatibility with Splunk, Amazon Redshift, Amazon S3, and Amazon Elasticsearch Service, Kinesis Data Firehose empowers real-time data analytics for the dashboarding and BI tools you've come to trust. Fully managed and automatically scaling, you can use Firehose to encrypt, batch, transform, and compress your information before ingestion to boost security and save on disk space.
Amazon Kinesis Data Analytics helps users without programming knowledge to analyze data streams with SQL or Java. For team members who know SQL, an SQL editor and templates are available for creating streaming applications or querying streaming data. Meanwhile, those with Java knowledge can develop more nuanced streaming applications that perform real-time data transformations and analytical processes.