article thumbnail

How OLAP and AI can enable better business

IBM Big Data Hub

Initially, they were designed for handling large volumes of multidimensional data, enabling businesses to perform complex analytical tasks, such as drill-down , roll-up and slice-and-dice. Early OLAP systems were separate, specialized databases with unique data storage structures and query languages.

OLAP 58
article thumbnail

It's Not The Ink, It's The Think: 6 Effective Data Visualization Strategies

Occam's Razor

The reasons are that we all like complexity, it gives us energy :), we tend to be logical, and we often treat data output as the end when in reality the data output is just the start of the process that results in actions that deliver business impact. We throw off a lot of data as a subtle way of earning a great job performance review.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

12 Marketing Reports Examples You Can Use For Annual, Monthly, Weekly And Daily Reporting Practice

datapine

We will go into detail with each report below in the article, but it is important to keep in mind that low-level metrics such as CPC or CTR will not take part in the strategic report that focuses on customers’ costs. Regularly monitor your data. That way you can choose the best possible metrics for your case. click to enlarge**.

Reporting 280
article thumbnail

The Data Journey: From Raw Data to Insights

Sisense

Traditionally all this data was stored on-premises, in servers, using databases that many of us will be familiar with, such as SAP, Microsoft Excel , Oracle , Microsoft SQL Server , IBM DB2 , PostgreSQL , MySQL , Teradata. However, cloud computing has grown rapidly because it offers more flexible, agile, and cost-effective storage solutions.

article thumbnail

Data scientist as scientist

The Unofficial Google Data Science Blog

Worse, the community may act on these ambiguous explanations, incurring real costs. As you can see from the tiny confidence intervals on the graphs, big data ensured that measurements, even in the finest slices, were precise. We sliced and diced the experimental data in many many ways.

article thumbnail

Digital Dashboards: Strategic & Tactical: Best Practices, Tips, Examples

Occam's Razor

In order to make smart decisions about the data you need four things. Or: While revenue is up by 48% profits have plunged by 80% because of our aggressive shift from to Cost Per Click as the God metric, this has brought increased sales of our loss leading products. The part we want to learn from is on the left. Recommendations.

article thumbnail

Accelerate onboarding and seamless integration with ThoughtSpot using Amazon Redshift partner integration

AWS Big Data

Amazon Redshift is a fast, petabyte-scale cloud data warehouse that makes it simple and cost-effective to analyze all of your data using standard SQL. Tens of thousands of customers today rely on Amazon Redshift to analyze exabytes of data and run complex analytical queries, making it the most widely used cloud data warehouse.