Data can come from anywhere in the current business environment. The success of a business not only depends on carefully keeping your own data, but also the ability to integrate your business process with data from elsewhere. Businesses are starting to use this concept of leveraging outside data to get closer to their customers (Customer Intelligence), have a better pulse on their business (Marketing Intelligence) and monitor and understand external threats and opportunities (Competitive Intelligence).

# Typical Djuggler Business case
An car insurance company wants to assess second hand car prices by car make and year of production, in order to establish their allowances. They scan online second hand car market places on the Internet to obtain recent price info for brands, models and age. The Djuggler software is used to create a web scraper that extracts new cars and prices on a weekly basis from various web sources and integrates this data with the company data warehouse. From there the data is analysed and used to hand out allowance sums.

# Using web data for marketing and competitive intelligence
Strategic data might be coming to you in the form of web sites, databases, flat files, Excel, XML or else. This data often comes in changing formats from changing sources. Integrating and analysing this data with your existing internal information is key for Marketing Intelligence (MI) and Competitive Intelligence (CI). Unfortunately automating and integrating data with outside data sources in various formats is often a challenge for IT departments.

# Djuggler data integration and web scraper scripts
Djuggler offers an intuitive and simple plain-English scripting environment specially suited for data integration and web data extraction. Instead of writing code, you drag and drop data action rules into a simple script environment. Each rule has a few specific properties you can configure for creating powerful web scrapers and integration solutions that can be deployed as small stand-alone Windows executables.

# Bottom line
Djuggler makes short work of (real-time) integration of structured and unstructured data and web sources. It has a host of functions and actions to easily collect data, adapt and transform the data into the composition and format you need, and integrate or load it into your business systems. These sources include structured information in applications, databases, XML and Excel spreadsheets, unstructured content such as documents, HTML, email and semi-structured information from websites that hide structured data behind a web interface like a web product catalog.

Typical solution examples:

* Web data and ETL (Extract, Transform and Load)
* Combine enterprise data with data from the web
* Analyze web data for Competitive Intelligence
* Compare web data for Marketing Intelligence
* Import and Export data from web based applications
* Transform unstructured data to structured data
* Build powerful automated HTML parsers
* Advanced data cleansing using multiple data sources
* Transform data from one format to another
* Compare data between multiple data sources
* Convert legacy data to industry standards