The BenchPrep Data Suite empowers users to unlock deeper learning data insights, have faster access to learner and program data, utilize powerful, accessible data visualization tools, and craft powerful data narratives to make better, more data-driven business decisions.

Why the Data Suite?

All your tools—your LMS, your ecommerce store, your collaboration tools, your CRM—generate data. Yet each business has unique data needs as well as resources, and no one is at the same place on their data journey. With BenchPrep’s data suite, you can leverage your internal resources with our powerful tools and partnerships to maximize your advantage.

All BenchPrep customers have access to program and product data through our best-in-class reporting dashboard — user and performance data, course and product-specific data, as well as deep learner insights. These reports are powerful, flexible, and included as part of our standard offering through BenchPrep’s embedded Business Intelligence (BI) tool. However, many businesses with analysts and IT resources in-house are looking to have more control over their data to investigate and explore their own trends and insights, and BenchPrep also offers advanced analytics and raw data access for those wanting to unlock further insights.

Snowflake

Snowflake is the market-leading fully-managed cloud data warehousing solution that empowers thousands of businesses to store and deliver siloed business data from multiple sources to easily discover and securely share governed data and execute diverse analytic workstreams. BenchPrep's partnership with Snowflake gives you revolutionary access to your BenchPrep learning data.

Raw Data Access

By partnering with market-leading data provider Snowflake, BenchPrep offers an add-on package providing customers upgraded data access via a data lake. Depending on your needs and current tools, customers can choose to query raw data directly in Snowflake or simply connect the tools you already have to BenchPrep.

What is Raw Data?

Raw data is simply data that has not been aggregated and is in its most granular form. It can come from a variety of sources and in a number of formats. Raw data is organized, but has yet to undergo processing and analysis. Receiving raw learning data can enable an organization to perform any analysis they please, for example tying it to internal information (e.g., purchase data, performance data) to identify correlations.

Data Warehouse vs. Data Lake: What's the Difference?

These are both widely-used terms for storing big data, but they are not interchangeable. The two types of data storage are often confused, but are much more different than they are alike. In fact, the only real similarity between them is their high-level purpose of storing data.

• A data warehouse is a repository for structured, filtered data that has already been processed for a specific purpose. It is a blend of technologies and components for the strategic use of data. A data warehouse collects and manages data from varied sources to provide meaningful business insights. It is the electronic storage of a large amount of information designed for query and analysis instead of transaction processing. The data warehouse captures the process of transforming data into information.
• A data lake is an unstructured repository of unprocessed data, stored without organization or hierarchy. Data lakes allow for the general storage of all types of data from all sources. Data lakes typically store a massive amount of raw data in its native format, and data is made available on-demand, as needed.

There is also a difference in the function and objective of each tool: The data lake simply ingests raw data as-is for exploration by data specialists, whereas the warehouse re-structures that data to improve the performance and usability of queries, reporting, and analysis by and for business users. All these distinctions are important because each tool serves different purposes and requires different sets of eyes to be properly optimized. While a data lake works for one company, a data warehouse will be a better fit for another.

Big Data: The Big Picture

With big data, you’ll be able to optimize your content for addictive course experiences. You’ll be able to easily target customers for new courses in your ecommerce store. If you mine the geographic data, you might even find new markets you never knew you had.

By leveraging BenchPrep’s best-in-class data suite, you can continuously improve your learner experience and engagement while growing revenue and reducing operational costs for your business.