The 16 Jan 2009 Gartner Magic Quadrant report
once again places SAS in the “Leaders” quadrant in the Global positioning of BI vendors with annual revenues of $20 million+ (see the full report
for a comprehensive description of inclusion criteria).
In describing SAS’ qualifications for this honor the report authors noted: “SAS's recent acquisition of Teragram
will not only serve to enhance its position by adding natural language processing and advanced linguistic technology to its text mining offering, but it will also enable SAS to add enterprise and mobile search to its BI offerings.”
This comment by Gartner
is revelatory in light of the current trend to view unstructured data as the “dark matter” of the enterprise ( i.e. the evolving source of income and profitability
). Text mining, text analytics, document search, term/concept retrieval and classification capabilities – such as provided by SAS® Text Miner
and SAS® Content Categorization – were all missing criteria in the evaluation of the vendors. The only other vendor noted for text analytics ability was SAP.
In a symposium given last year by TDWI
(The Data Warehouse Institute), entitled “The Shifting Data Continuum: Or Why Your Data Warehouse Needs Unstructured Data”
, Philip Russom shared results collected from a survey on sources of warehouse data. There he displayed a graphic that indicate huge, exponential growth in unstructured data sources in organizations today.
The huge red triangle in the TDWI report indicates all the unstructured sources of data that are likely to grow in the next three years. Given that – according to Gartner -- SAS has only one acknowledged competitor in this BI area -- SAP. Therefore this creates a huge opportunity to gain competitive advantages compared to the other acknowledged vendors in the report … as well as the other vendors that we meet in the market who do not appear in the Gartner report.
This growth in the “dark matter” of the enterprise will be enabled and facilitated by the kind of text mining/text analytics capabilities that SAS has built and which Gartner acknowledges in its “Magic Quadrant” report.
If the TDWI analysis holds true then it is likely that text mining/text analytics capabilities will soon surface as explicit qualifiers for “leaders” in the BI (not to mention Business Analytics) area.