InfoTame Application to CRM:
Leading Indicators and Early Detection
|
Know What Your Customers are Really Thinking and Turn it into Competitive Advantage.
Prevent Costly Mistakes
|
|
Many companies have accumulated millions of pages of unstructured, text-based
data and add thousands more each day from e-mail and other documents exchanged
with their customers. It is impossible to keep track of this enormous flow of
data without special software tools that allow real-time extraction of the most
significant facts and relationships from text. InfoTame has developed and is currently
selling unique analytics products for ultra fast, scalable and language-independent
extraction of vital information from vast amounts of text.
The use of InfoTame technology in CRM applications alerts businesses to customer
problems as they occur, and they can take preventive action immediately, which
can save orders and customers. Today, the existing systems do capture the problem
as it occurs but it is often detected only when the customer moves elsewhere or
the orders from the upset customer have declined. By identifying problems early,
InfoTame can save businesses millions in lost revenue, at the same time improving
customer relationship and loyalty.
Let us look at some well-known recent examples of problems overlooked. |
 |
- A simple search for “Failure” in our news database uncovers the
most important failures based on 24755 documents. One of the key topics is “Firestone
Tire”.
- By drilling down into “Firestone Tire”, a topic specific view is
created, which uncovers key descriptors providing a “portrait” of what
this incident is all about.
|
 |
Drill down into “FIRESTONE TIRE” generates a
refined Information Portrait, revealing details from 312 documents:
|
 |
- Drill-down to the document level enables access to relevant information.
In our example, the full picture of the impact on sales in very little time.
|
 |
- One can identify key events, correlation and trend.
|
Can an incident like the “Firestone Tire” be avoided?
A company can avoid a “Firestone Tire” incident if early detection mechanisms
are in place.
Vastly distributed data, especially text based information is difficult if not
impossible to turn into good business decisions. By consolidating and analyzing
the data, InfoTame can provide insight into events, which otherwise are impossible
to detect in time – they will surface when it is already too late (as in
the case of the tire incident). One report of a tire failure as a cause for an
accident is not significant, it can be just coincidence. But if multiple reports
contain similar information, a statistical significance will be detected. By visualizing
text-based information, as reflected in our chart (based on the news database),
events and correlations will be immediately apparent and can therefore be transformed
into timely business decisions. |
|
