FAQ

What is Quantivo?

Quantivo is a cloud-based analytics solution based on a proprietary data storage model, data processing engine, and query execution environment. Quantivo uses a schema-less data model for data ingestion coupled with a pattern-based data processing engine that automatically identifies patterns in data and enables train-of-thought analysis through the Quantivo analyzer interface.

Does Quantivo summarize or sample data?

No, Quantivo is a loss-less technology and maintains all raw details and granular information.

Does Quantivo compress data?

Quantivo's data processing engine automatically eliminates redundancy and duplications in data, which generally results in a 10x reduction in data volumes. Quantivo performs analysis against these compressed data, resulting in very fast queries, no time delays due to data compression/un-compression tasks, and highly efficient data transfer and replication.

What problems does Quantivo solve?

Quantivo is a powerful cloud-based analytics solution. Today, Quantivo offers game-changing customer behavioral analytics that delivers insights unavailable from competing tools, while dramatically lowering the cost and complexity of conventional approaches. With Quantivo, companies can automatically discover hidden patterns in Big Data and identify which activities influence behavior to increase revenue, market share, loyalty, and margins.

Can you provide some examples of the types of questions Quantivo can help answer?

Although Quantivo provides an ad hoc query environment for train-of-thought analysis and support for general purpose analytics, Quantivo also enables powerful pattern-based and behavioral analytics. The most common question Quantivo customers initially ask is “What other things do people do when they do ‘x’?”; this is a seemingly deceptive question as it is simple to understand in English but very difficult to express with traditional data analysis and business intelligence tools. This type of behavioral question enables business users to quickly decide and act on dynamic behavioral patterns, to optimize marketing and better target customers, and to empower organizations to answer critical business questions, such as:

What is our greatest opportunity to positively influence customer behavior?
Which behaviors signal opportunities to increase revenue and conversions?
Which campaign should we run next, and for which segment?
What is the optimal product mix, by segment?

These types of forward-looking behavioral questions, across multiple disparate data sources, are where Quantivo behavioral analytics shines and enables Quantivo to deliver a revolutionary analytics experience for:

Customer segmentation
Marketing optimization and behavioral targeting
Market basket analysis
Web/clickstream analytics

Quantivo customers use Quantivo to:

Increase revenues and margins
Increase return on campaigns and promotions
Improve merchandising effectiveness and basket size
Increase customer spend and loyalty
Optimize resource allocation and justify marketing spend

What types of data does Quantivo support?

Since Quantivo doesn't require rigid schema definition, we can support a wide set of data sources, both structured, such as traditional event or application data, and semi-structured, such as Twitter or clickstream data.

What does cloud-optimized mean?

Quantivo has spent thousands of engineering hours to ensure that the architecture is optimized to take full advantage of the elasticity, resiliency, scalability, and availability of the cloud. Quantivo provides a truly multi-tenant environment, with both logical and physical separation of per-tenant data. This not only ensures better service levels—as load from one tenant cannot impact another—but maintains strict data segmentation between clients. Additionally, Quantivo provides dynamic resource scaling with the ability to scale computing resources up or down based on usage, data volumes, or predefined thresholds. This is very important in dealing with analytic payloads, as analysis is generally performed in cycles with lots of deviation between the time data spend in storage and in use.

How long does it take to deploy Quantivo?

Quantivo is delivered as a cloud-optimized service, and as such, we provide rapid time-to-value. We can upload, transform, and prepare your data in a matter of days. Once data are loaded, you can begin to run iterative, train-of-thought queries against all your data in seconds—it’s that simple. In contrast, Gartner recently published a report that stated 70 percent to 80 percent of all business intelligence (BI) deployments result in failure. This is generally due to the high cost, complexity, and sophistication required to deploy, configure, and use traditional BI and analytics technologies.

How does Quantivo handle large data transfers to the cloud?

Quantivo provides multiple methods to transfer large amounts of data to the Quantivo cloud environment, including:

Internet: Companies with the bandwidth and reasonable data volumes can simply transfer data via the Internet to Quantivo using standard data transfer protocols, such as secure FTP.
Storage device: Companies can mail a storage device for the initial bulk transfer; additional transfers would require only an incremental update. Note: This is the preferred and recommended method from Amazon for data transfer to S3.
S3 -> Quantivo: Companies already using Amazon S3 storage can easily transfer data between their S3 data storage instance and Quantivo.
Cloud-provider -> Quantivo: In addition to seamless integration between Amazon S3 and Quantivo, users can also easily transfer data between a third-party cloud provider and Quantivo.
High-speed file transfer providers: Quantivo is working with vendors that provide high-speed file transfer to facilitate high-speed data transfer at lower costs than traditional methods.
Amazon information on bulk data transfers: