To install click the Add extension button. That's it.

The source code for the WIKI 2 extension is being checked by specialists of the Mozilla Foundation, Google, and Apple. You could also do it yourself at any point in time.

4,5
Kelly Slayton
Congratulations on this excellent venture… what a great idea!
Alexander Grigorievskiy
I use WIKI 2 every day and almost forgot how the original Wikipedia looks like.
Live Statistics
English Articles
Improved in 24 Hours
Added in 24 Hours
Languages
Recent
Show all languages
What we do. Every page goes through several hundred of perfecting techniques; in live mode. Quite the same Wikipedia. Just better.
.
Leo
Newton
Brights
Milds

Actuate Corporation

From Wikipedia, the free encyclopedia

Actuate Corporation
Subsidiary
IndustryComputer Software, Business Intelligence, Enterprise Reporting, Business Analytics
Founded1993
HeadquartersSan Mateo, California, USA
ProductsBIRT, BIRT iHub, BIRT iHub F-Type, BIRT Analytics, Actuate Customer Communications Suite
RevenueIncrease US$134.6 Million (FY 2013)[1]
Increase US$23.4 Million (FY 2013)[1]
Increase US$16.7 Million (FY 2013)[1]
Total assetsIncrease US$196.1 Million (FY 2013)[2]
Total equityIncrease US$128.8 Million (FY 2013)[2]
OwnerOpenText
Number of employees
570 (as of December 31, 2013)
Websitewww.opentext.com/what-we-do/products/analytics/

Actuate Corporation is a publicly traded reporting, analytics and customer communications software company based in San Mateo, California, part of the San Francisco Bay Area and Silicon Valley. The company is known for its creation of the open source Eclipse BIRT business data reporting project launched by the Eclipse Foundation in 2004. Actuate software helps businesses and OEMs worldwide serve their customers within the finance, government, manufacturing, telecommunications, and healthcare industries, among others.

In addition to its headquarters in California, Actuate has offices across the U.S. and in Toronto, London, Paris, Frankfurt, Barcelona, Fribourg, Singapore, Tokyo and Sydney.

Actuate's primary commercial offerings include the BIRT Designers, and the BIRT iHub development and deployment platform for developers; BIRT Analytics for business analysts' own predictive analytics exercises; and the Actuate Customer Communications Suite for processing, transformation and delivery of high-volume content to an organization's own customers.

In 2015, Actuate Corporation was acquired by OpenText for approximately $163 million[3][4][5]

YouTube Encyclopedic

  • 1/3
    Views:
    1 912
    5 953
    302
  • ✪ Predicting Customer Churn with BIRT Analytics
  • ✪ Feature Highlights of the Brady BMP21 Label Printer
  • ✪ NEC Global Update

Transcription

Would you like to learn which customers are loyal and predict which customers are likely to leave you? BIRT Analytics makes customer churn analysis easy. To begin with, we will determine which customers have stopped purchasing from us over the last few months Expand the Retail Database in the Data Browser and in the Basket table double-click the DATEYEARMONTH field to display the number of purchases made in each month Next click the Analytics tab then click the Venn Diagram to launch Diagram editor Individually drag each of the last 3 months from the DATEYEARMONTH field onto Diagram editor, creating 3 categories one for each month. We want the Diagram to portray how many customers made purchases in each month BIRT Analytics makes it easy to set context on any visualization. In this case to see the monthly purchases relative to customers simply drop the Customer table onto the Diagram The Venn evaluates all customers and segments them into the appropriate categories on the Diagram The summary total at the center of the 3 categories represents customers who have purchased from us and each of the last 3 months We can easily segment this group of customers by clicking the Summary, which drops a segment filter on to the Scratchpad Let's rename the segment to Loyal, right click and select rename then type the new name for your filter Next let's create a segment for those customers that have not been active in the last month Rename this filter Churners Now we'll create a new segment that combines the 2 segments we created earlier Drag and drop the Loyal segment onto the Scratchpad creating a copy Next, drag and drop the Churners segment onto the copied Loyal segment, selecting OR as the condition. This creates a 3rd new segment that is a combination of Loyal and Churn customers which we can rename to Loyal and Churners Now we have 3 segments of customers identified Loyal, Churners and a combination of both Let's use these filters to predict our customers tendency to churn For this we will use the Decision Tree feature While on the Analytics tab, click the Advanced inner tab, then click Decision Tree launching the Decision Tree editor To evaluate all customers in both of our segments drag and drop the Loyal and Churners filter to the Domain setting Under Domain columns, select the attributes you wish to evaluate against. In this case we will see how things like Gender and Age affect the customer's tendency to churn Select Age Band, Gender and Wealth, dragging each to the right hand window Next we'll define our classifiers for Loyalty and for Churn How do we consider a customer part of either group? Click New classifier, drag the Loyal filter from the Scratchpad to the Segment box Set the color to green, then name this classification Loyal Repeat the steps for the Churners, using red instead of green Name the classification Churn Click Train to train the algorithm. BIRT Analytics takes the parameters and calculates the Decision Tree which predicts the propensity for customer to churn based on the attributes we selected The Chart displays the tree in a familiar Organization Chart fashion, while the browser view makes it easy to drill down into the layers of the tree Widen the Tree column to see the branches as you drill down Here the Decision Tree shows that females of Average Income between 25 and 35 years of age are predicted to be Loyal, versus the men in the same categories who are predicted to be churners You can save your prediction and use it to classify your data at any time Let's use it to see how many customers loyal customer base are predicted to churn. Click Apply, then drag the Loyal filter on to the Domain property Provide a name for the new predicted field Double-click the new field to see how many if you're currently loyal customers are at risk of churning It really is that easy to do churn analysis using BIRT Analytics

Contents

Products and Services

BIRT

Open source BIRT consists of a designer and a runtime engine for generating report content that can be embedded into an application.

BIRT iHub

Actuate’s commercial offerings include BIRT iHub, containing various viewing capabilities, and BIRT Designer Pro. Developers use BIRT Designer Pro to build data visualizations, such as reports, dashboards and analytic content. This content can then be deployed and distributed to end users using BIRT iHub, the deployment server. BIRT iHub supports easy integration and access to multiple data sources. Server offerings are based on BIRT iServer, a report server with scheduling, distribution, security and alerts capabilities.

BIRT iHub F-Type

BIRT iHub F-Type is a freemium software product released by Actuate on July 10, 2014. The product provides access to the features and functionality offered in Actuate’s BIRT iHub enterprise-grade deployment platform, with metered output capacity. As a free server, BIRT iHub F-Type is designed to manage and distribute content created by developers who use the open source BIRT Designer, a top level Eclipse Foundation project, or Actuate’s commercial BIRT Designer Pro.

BIRT iHub F-Type is created for developers who want to try out the features of Actuate’s commercial BIRT iHub deployment platform. Users can run the software to deploy up to 50MB of data output each day in the form of reports and other visualizations for free and can buy additional 50MB increments on a subscription basis.

BIRT Analytics

BIRT Analytics is self-service software for business analysts who want to perform their own predictive analytics on customer behavior and purchasing patterns, using any source of small or Big Data including social media activity, to enhance customer engagement.

Actuate Customer Communications Suite

The Actuate Customer Communications Suite offers full spectrum functionality and includes modules for transforming, processing, personalizing, archiving and delivering high-volume content, correspondence and communications to an organization's customers. Examples of such communication include bank statements, insurance policies, explanation of benefits documents and utility bills.

Actuate's Document Accessibility Appliance, part of the above-mentioned suite, was introduced in April 2014 and is based on patented technology. The Appliance is a software tool that automatically converts high volumes of electronically delivered documents into accessible PDF files (PDF/UA format) to make them “readable” by digital readers designed for visually impaired individuals. An organization's deployment of the Document Accessibility Appliance helps to ensure compliance with Web Content Accessibility Guidelines 2.0 Conformance Level AA.

References

  1. ^ a b c Actuate (BIRT) annual SEC income statement filing via Wikinvest
  2. ^ a b Actuate (BIRT) annual SEC balance sheet filing via Wikinvest
  3. ^ "OpenText Buys Actuate Corporation - OpenText". 2015-01-16. Retrieved 2016-07-29.
  4. ^ staff, Record (2014-12-05). "OpenText buying analytics software provider for $330 million US". TheRecord.com. Retrieved 2018-06-01.
  5. ^ Dulaney, Chelsey (2014-12-05). "Open Text to Buy Actuate for $330 Million". Wall Street Journal. ISSN 0099-9660. Retrieved 2018-06-01.

Further reading

This page was last edited on 14 September 2019, at 15:14
Basis of this page is in Wikipedia. Text is available under the CC BY-SA 3.0 Unported License. Non-text media are available under their specified licenses. Wikipedia® is a registered trademark of the Wikimedia Foundation, Inc. WIKI 2 is an independent company and has no affiliation with Wikimedia Foundation.