Try InetSoft's Enterprise BI Tool

Are you looking for the best enterprise BI tools? Since 1996 InetSoft has been making BI software that is easy to deploy and easy to use. Build self-service oriented dashboards and visual analyses quickly. InetSoft's data mashup engine solves the data access and transformation challenges that other tools cannot. View a demo and download one of our applications for free.

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Why InetSoft?

InetSoft's enterprise BI tool is easy enough to be:
  • Deployed in just weeks
  • Learned by end users with minimal training
  • Used by any executive without the aid of IT
agile enough to be:
  • Adaptable to changing data and business needs
  • Used for data exploration through visualization
  • Capable of maximum self-service
and robust enough to:
  • Attract the attention of executives
  • Meet the demands of power users
  • Scale up for organizations of any size

Evaluate Style Scope from InetSoft. It's Easy. Agile. & Robust.

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About InetSoft

Since 1996 InetSoft has been delivering easy, agile, and robust business intelligence software that makes it possible for organizations and solution providers of all sizes to deploy or embed full-featured business intelligence solutions. Application highlights include visually-compelling and interactive dashboards that ensure greater end-user adoption plus pixel-perfect report generation, scheduling, and bursting. InetSoft's patent pending Data Block™ technology enables productive reuse of queries and a unique capability for end-user defined data mashup.

This capability combined with efficient information access enabled by InetSoft's visual analysis technologies allows maximum self-service that benefits the average business user, the IT administrator, and the developer. InetSoft was rated #1 in Butler Analytics Business Analytics Yearbook, and InetSoft's BI solutions have been deployed at over 5,000 organizations worldwide, including 25% of Fortune 500 companies, spanning all types of industries.

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Data Wrangling as an Enterprise BI Tool

Data wrangling is the process of cleaning, transforming, and shaping raw data into a format that can be used for analysis and decision-making. In recent years, data wrangling has become a critical component of enterprise business intelligence (BI) as organizations seek to leverage their data to gain insights and make informed decisions.

One of the key benefits of data wrangling as an enterprise BI tool is that it enables organizations to overcome the challenges posed by disparate and siloed data sources. By integrating, transforming, and standardizing these sources, organizations can gain a single, unified view of their data, which can be used to drive more effective and efficient decision-making.

Another key advantage of data wrangling is that it helps organizations to overcome the limitations of traditional BI tools. Many of these tools are designed to work with data that is already in a structured format, but in today's data-driven world, much of the valuable information is unstructured or semi-structured, such as social media posts, customer reviews, and sensor data. Data wrangling tools enable organizations to extract and structure this information, making it usable for BI purposes.

Data wrangling also helps organizations to reduce the time and effort required to create meaningful insights from their data. By automating the process of cleaning and transforming data, organizations can free up their data scientists and analysts to focus on more complex and value-added tasks, such as exploring and modeling data, developing predictive algorithms, and creating visualizations.

Finally, data wrangling enables organizations to be more agile and responsive to changes in their data landscape. By standardizing and integrating data sources, organizations can quickly and easily access the information they need to make informed decisions, without being bogged down by the time-consuming and error-prone task of manual data preparation.

In conclusion, data wrangling is an essential tool for organizations that are seeking to leverage their data to gain insights and make informed decisions. By enabling organizations to overcome the challenges posed by disparate and siloed data sources, reducing the time and effort required to create meaningful insights, and enabling organizations to be more agile and responsive, data wrangling is a critical component of any successful enterprise BI strategy.

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