Can Data Learning Help LOB Leaders Prosper?

Knowledge is Power

As a line-of-business (LOB) leader, you understand that knowledge is power.

• Past: To help your organization reveal the optimal way to operate, you need to know what happened in the past.

• Present: To verify your organization is on track, you need a real-time view of your current state.

• Future: To ensure your organization optimizes future outcomes, you must predict what might happen next.

Making Smart Data and Analytics Investments

You invest significantly in your data and analytics infrastructure to gain these holistic insights.

Where does the money go?

• Some funding goes to your team’s experts, such as business analysts and data scientists.

• Some funding goes for IT staff, such as the data engineers and architects housed in IT, yet cross-charged to you.

• And some funding goes to software, hardware, and other data and analytics infrastructure investments.

Yet, more data, more insights, and thus more funding are always required!

And that’s a considerable challenge when insight can be your competitive differentiator and a key to your business success.

Can Data Learning Improve Your Return on Data and Analytics Investments?

You earned your leadership role by embracing challenges. And you learned long ago that it is better to deliver results with what you have before you ask for more resources.

So, how can you gain more insights without investing more?

Data Learning solutions from vendors such as Keebo.ai have an answer.  Here are three ways their data learning solutions might help you get more for your money.

1.  Use the Latest Insights When Making Decisions

Your business requires the most up-to-date information. No one likes waiting for a slow dashboard or report to refresh. It can get so bad that your team avoids pain and tries to get by with yesterday’s data.

Data learning is a transparent platform your data and analytics experts use to speed up dashboards by one or more magnitude automatically, so you always have the latest insights for the best business results.

For example, armed with “real-time for the first time” dashboards, product managers at one e-commerce firm fine-tuned promotions faster, yielding higher revenues per visitor.

2.  Gain Valuable New Insights Sooner

Change is the only constant. And as Darwin said, those most adaptable to change will survive. Whether launching a new marketing campaign, evaluating a new supplier, or improving a manufacturing process, if your organization is like most, it takes too long to go from “maybe we should try X” to “thank goodness we implemented X.”

Data learning can help you close that gap. Data learning lets your data engineering team accelerate performance optimization, a critical step in every new analytic project. This faster time-to-solution allows your business to realize business value sooner.

For example, a large high-tech company used data learning to shorten its new sales reporting project, completing the effort six weeks faster and thus increasing its sales pipeline by several million dollars.

3. Save Money On Infrastructure Cross-Charges

You know your data and analytics infrastructure is essential. So you reluctantly fund your technology cross-charges, even as they rise month after month. Is that money spent wisely? Might there be more intelligent ways to spend it so you can derive more business value?

By helping your team optimize critical data warehouses, data learning reduces related data and analytics infrastructure spending. Data learning’s built-in intelligence and advanced machine learning techniques automatically optimize warehouse size, clustering, and memory in real-time, thus providing savings without impacting performance.

One data-driven company used data learning to cut its cloud data warehouse spending by more than 40% and redeployed those funds toward other high-return projects.

Learn more about Data Learning

Is data learning right for you?  That’s a question worth investigating. These short videos are a great start.