Here’s a link to IDC’s 2005 business intelligence review. It ranks all the major vendors and highlights their strengths and weaknesses.
Here’s a link to a data mining presentation that Ronny Kohavi (Phd) gave at the eTailing CRM Summit about mining customer data using Blue Martini.
The intersection of BI and enterprise Quintum VoIP solutions. The perfect fit for your Enterprise. search is seeing more traffic Find out what Google Checkout can do for your online business. all the time. Already this year, Google (Nasdaq: GOOG) Latest News about Google, IBM (NYSE: IBM) Latest News about IBM, and X1 have released new products, and Oracle (Nasdaq: ORCL) Latest News about Oracle promises to do so later this year. Here is a short list of solutions from market leaders that should be considered in the evaluation phase.
Cognos (Nasdaq: COGN) Latest News about Cognos 8 Business Intelligence – The combination of EnterpriseService Portal (ESP) from Norwegian firm Fast Search and Transfer (FAST) and Cognos 8 BI with Cognos Go! Search Service enables workers to quickly find reports, analyses, scorecards and other BI assets, along with corporate content and other forms of structured and unstructured business information. The FAST product can also perform analysis of Cognos-generated data during the process of returning search results.
Google Search Appliance – The king of Web search has an enterprise search solution that sells only with bundled hardware. Starting with designs for searching as many as a half-million documents, it can scale to clustered systems with 20 times that capacity. Google passes queries to back-end enterprise applications to search their own databases and return the results to Google; it does not connect to the data directly. However, it can access your company’s structured data if stored in any of the leading DBMS’s. A new feature of the Google Search Appliance, called Google OneBox for Enterprise, delivers information from business intelligence Turn your next prospect into a sale. Free report. systems, such as those from Cognos, Employease, Netsuite, Oracle, Salesforce.com (NYSE: CRM) Latest News about Salesforce.com and SAS.
IBM OmniFind – IBM WebSphere Latest News about WebSphere Information Integration OmniFind Edition, a component of the WebSphere Content Discovery for Business Intelligence solution, has remarkable scalability and built-in access to numerous BI applications — the latter due to the company’s constant acquisition of firms specializing in enterprise data access tools, such as those from iPhrase, which IBM purchased late last year. Depending on configuration, OmniFind’s search results can be clicked on for further data drilldown. This feature is enabled in part by IBM’s capability to search data warehouses. Access control to the search data is enforced by the OmniFind software.
Oracle secure Enterprise Search – Emphasizing scalability and security, the search index is stored in a secure database and uses Oracle identity management solutions to control access. It offers the capability to search against document management systems, BI apps and portals. Searches can be audited and logged as well. The product is undergoing a significant transition — presumably due to Oracle’s recent acquisitions — and a new version is not expected until late this year at the earliest. The company was unwilling to discuss features of this version at press time.
X1 – The X1 Enterprise Platform from X1 Technologies is an enterprise search engine that federates results from desktop and enterprise search engines — both from X1 and, uniquely, those of other vendors, including Google. X1’s highly regarded desktop search software, considered by many to have the best interface, is available at no cost.
The X1 enterprise engine is the only one on this list that can search through e-mails and other desktop documents and federate them with back-end searches. It is a scalable solution that can be clustered and centralized across multiple locations, or combined with those from the other three vendors on this list. As a result, for compliance and enforcement purposes, X1 is probably the strongest solution currently available.
SPSS software used to develop performanace models in grades K-12
As students head back to their pencils and books, school districts in several states are turning to predictive analytic tools to meet the data aggregation and analysis requirements of the No Child Left Behind Act and to focus teacher efforts on boosting academic performance.
Research firms Analytic Focus LLC and Reveal Technologies LLC have partnered with Chicago-based SPSS Inc. to help develop models that can predict student performance in grades K-12 based on current instructional methods used in a school. School districts in New York, Colorado, Minnesota, Alabama and Iowa will put in place the SPSS predictive analytics tools and participate in this new program, according to an SPSS announcement.
In addition, the Naperville, Ill., school district, located in the suburbs of Chicago, this summer has been training principals in its 21 schools how to use SPSS’s predictive analytics software, said Alan Leis, superintendent of the Naperville Community Unit School District 203.
“No Child Left Behind [legislation] forces us to focus on individual student data… and large groups by schools,” Leis said. “[SPSS] will allow us to see which students are on a normal growth path and which students are below it… and to predict which students are most at risk for not meeting achievement standards.”
The district began working with SPSS last year to build a master data warehouse that could pull together data from disparate databases containing test scores, demographic data and other information needed for predictive analysis, Leis added. This school year, the district will begin using the software to analyze data and build growth plans for schools and the district’s 19,000 students. The software will replace the time-consuming process of manually analyzing data from test score spreadsheets, Leis added.
“Now we can give [users] a CD with all this data on it so they can do the what-if analysis,” he said. “It allows you to not spend all this time figuring out the data but… figuring out what you did right and what you need to do better.”
Leis said he hopes to eventually expand the use of the software to the district’s 1,200 teachers.
Phil Ashworth, coordinator of testing data for the Hamilton County school district in Chattanooga, Tenn., said he has been using SPSS predictive analytics software for several years to analyze testing data. A year ago, he added SPSS’s Clementine data mining tool to the mix to provide a graphical representation of test scores from the district’s 40,000 students.
The tool allows him to set up the parameters for analysis and to run a report and apply those parameters to any of the 80 schools in the district without having to rewrite any of the instructions, he said. In addition, while testing is commonly done in the spring, it is at the beginning of the school year that teachers need to know their students’ strengths and weaknesses, Ashworth said. The SPSS tools allow him to provide testing data to each teacher at the beginning of the year, he said.
Someone just asked me how to do this so I am going to post my solution in case it will help others…
Situation: You have a table of email addresses (and that’s it) of clients from the Boston DMA. You want to add a new field called DMA and assign all records the value of “Boston”
Solution: Make a query that includes your email address table. Include email address as one filed and add a new one. The new one will be called DMA and have a value of “Boston”. The SQL would look something like this…
SELECT [EmailList].emailaddress, “Boston” AS DMA
another option that would make a new table (called dmatable) for the info would be…
SELECT [EmailList].emailaddress, “Boston” AS DMA INTO dmatable