Filled Map – a key visualization in geospatial analysis

Nowadays, the importance of location data continues to grow as businesses expand and spread over various geographical areas. Consequently, geospatial analysis becomes a basic necessity as it helps us discover patterns correlating with geographic locations. When choosing the best map visualization for plotting geographical data, we need to consider the specifics of each business [...]

Get the most out of Pointer Maps

Your data is geographically distributed, and you want to visualize at least two metrics in your data? The pointer map might be a good choice. The pointer map, also known as a “bubble map” or “symbol map”, has markers placed over geographical locations. Pointer maps can show two quantitative values — one by varying [...]

The Power of Logarithmic Scale

What’s a logarithmic scale? That’s a commonly asked question by storyboard designers. Let’s uncover its true power by seeing when and how the logarithmic scale is applied based on examples from DataClarity visualizations. The reason to use logarithmic scales is to resolve an issue with visualizations that skew towards large values in a dataset. [...]

How to Succeed with Self-Service Analytics eBook

How to Succeed with Self-Service Analytics eBook Download PDF Self-service analytics is the holy grail for organizations. It promises to empower business users to generate their own data and insights and liberate the information technology (IT) department to focus on more value-added activities than generating custom reports. But this [...]

By |February 27th, 2019|Resources - DataClarity Analytics, Resources - DataClarity Data|Comments Off on How to Succeed with Self-Service Analytics eBook

Analyst Report: DataClarity Product Profile

Analyst Report: DataClarity Product  Profile Download PDF Learn why DataClarity is the perfect choice for organizations that need a complete data and analytics environment or the means to connect disparate BI tools and databases. What is covered: Executive Summary Company Product Customers Architecture Pricing Differentiators Conclusion [...]

By |February 27th, 2019|Resources - DataClarity Analytics|Comments Off on Analyst Report: DataClarity Product Profile

Seamlessly integrate Cognos and TM1

You want custom, high-quality solutions that are delivered rapidly, efficiently, and with low risk. DataClarity delivers all that and more. Our experts can help your organization to leverage IBM Cognos SDK to extend, customize, or integrate IBM Cognos into your existing web portals and applications. With a lower total cost of ownership, accelerated time [...]

Still using Cognos TM1?

With the end of support for Cognos TM1 coming this year, and many new stunning capabilities available in Planning Analytics, it’s not too early to consider upgrading and realizing all the benefits Planning Analytics can bring your organization now: Planning Analytics Workspace (PAW) – this customizable interface is the new face of TM1 that [...]

Are you feeling more pressure to migrate to Cognos Analytics?

Having successfully completed many Cognos Analytics migrations over the past two years, we understand the requirements and success criteria each company must consider to ensure a smooth and seamless migration. To help clients address these business and technical requirements, DataClarity offers a purpose-built service to provide an end-to-end migration that includes: A full no cost discovery, [...]

Stress-free TM1 to Planning Analytics Migration

Did you hear about the stunning new capabilities now available in Planning Analytics? If not, please check out Why Upgrade to Planning Analytics.  The latest upgrade available is at no charge to all TM1 customers with an active IBM software subscription & support agreement. Having already completed many successful Planning Analytics migrations, DataClarity understands the [...]

How to add data filters to a visualization

How to add data filter to a visualization 0:02:04 Download MP4 Learn how easy it is to add data filters to visualizations in DataClarity. What is covered: Add to a data filter to a visualization Add filter conditions Groups of conditions Apply filters and visualize the result [...]