Remove Data Modelling Remove Data Warehouse Remove Embedded Analytics Remove Innovation
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Modernize Your ETL Processes, Discover Better Insights

Sisense

Dealing with Data is your window into the ways Data Teams are tackling the challenges of this new world to help their companies and their customers thrive. In recent years we’ve seen data become vastly more available to businesses. This has allowed companies to become more and more data driven in all areas of their business.

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Sisense Q1 2021 Release: Infuse Customized Intelligence at Scale

Sisense

Assign your Themes to groups individually (manageable via REST APIs too) or dynamically update themes in embedded dashboards and widgets through iFrames, Embed SDK, or Sisense.JS for a custom, integrated embedded analytics solution. Advanced data transformation with Custom Code. Enhanced live model connection parameters.

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Transforming Big Data into Actionable Intelligence

Sisense

Edge computing analytics (like the kind platforms like Sisense can perform) generate actionable insights at the point of data creation (the IoT device/sensor) rather than collecting the data, sending it elsewhere for analysis, then transmitting surfaced intelligence into embedded analytics solutions (eg.

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Unleash the Power of Advanced Analytics with the Sisense Q4 2019 Release

Sisense

The rapid growth of data volumes has effectively outstripped our ability to process and analyze it. The first wave of digital transformations saw a dramatic decrease in data storage costs. On-demand compute resources and MPP cloud data warehouses emerged. Optimize raw data using materialized views.

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Building Better Data Models to Unlock Next-Level Intelligence

Sisense

You can’t talk about data analytics without talking about data modeling. These two functions are nearly inseparable as we move further into a world of analytics that blends sources of varying volume, variety, veracity, and velocity. Building the right data model is an important part of your data strategy.

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The Rise of the Data Team

Sisense

Today, data teams form a foundational element of startups and are an increasingly prominent part of growing existing businesses because they are instrumental in helping their companies analyze the huge volumes of data that they must deal with. This combination has given the team advanced data handling and analytics capabilities.

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Sisense and Google Cloud: Driving Innovation and Digital Transformation Together

Sisense

It highlights an important fact, that companies are looking towards data to deal with extreme changes , and sophisticated BI tools can guide that approach to analyze sophisticated data and deliver basic insights back to organizations. Focus on integration and innovation. Moving data into the cloud, driving innovation.