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Angoss reports record revenue in fiscal 2006 results; Improved net income and op

来源: 作者:互联网作品 时间:2007-02-09 点击:

TORONTO, Jan. 29 /CNW/ - Angoss Software Corporation (Angoss)
(TSX-V: ANC) today announced preliminary unaudited results for the fourth
quarter and fiscal year ending November 30, 2006.
    Expanded use of Angoss predictive analytics systems by banking, mutual
funds, insurance and telecom clients resulted in record fourth quarter and
fiscal year revenues. The Company also reported higher operating and net
income, with growth in cash flow and deferred revenues.
    On an earned basis, annual revenues grew 8.5% to $6,824,114 (2005:
$6,289,016). Deferred revenues were up 21.5% to $3,201,319 (2005 -
$2,635,708). Operating expenses increased 2.5% to $6,111,999 from prior year
expenses of $5,964,587. Operating income for the year grew 122% to $680,492,
compared with prior year operating income of $306,709. Net income improved to
$310,879 compared with a prior year net loss of $126,281.
    On a billed basis, annual revenues grew 13.5% to $7,327,374 (2005: 数据挖掘研究院
$6,455,164). The Company also closed the year with over $2 million in cash,
after paying $575,000 for scheduled retirement of preferred shares. Operating
cash flow increased to $1,087,160 (2005: use of $76,188), a $1.2 million
improvement.
    Fourth quarter earned revenues grew 8.3% to $1,825,819 (2005:
$1,685,300). Operating expenses were $1,746,730, up 14% from prior year fourth
quarter results, with year-over-year declines in operating expenses offset by
one-time fourth quarter variable compensation payments linked to annual
financial performance. Fourth quarter operating income was $75,340, compared
with fourth quarter 2005 operating income of $148,864. Net income was $53,314,
up from prior year net income of $32,784.
    "Our 2006 results reflect continued expansion of existing customer
relationships, new client additions, the expansion of our analytics solutions
portfolio, and a growing pipeline of new opportunities in the financial

数据挖掘研究院


services and information and communications technology markets," commented
Angoss President Eric Apps. "Our demonstrated capability to deliver rapid,
measurable return on investment through accelerated customer acquisition
rates, higher revenue growth, improved insight into customer risk, and faster
time to data driven decisions, are key differentiators for clients selecting
Angoss."

    Fourth Quarter and Fiscal Year Highlights

    Angoss predictive analytics solutions combine market proven Angoss
predictive analytics software and industry specific templates, best practices
and implementation services that help clients achieve business value benefits
from predictive analytics faster, and at lower cost.
    Angoss implementations are geared to industry and client specific stages,
needs and capabilities, using the Angoss Predictive Analytics Maturity
Model(TM) a proven implementation methodology which ensures rapid return on 数据挖掘研究院
investment, effective knowledge transfer, and rapid solution availability
using both technology licensing and subscription service delivery models.

    Angoss FundGUARD(TM) System Drives Significant Growth In Assets Under
    Management

    Angoss FundGUARD(TM) helps mutual fund and wealth management companies
use predictive analytics to drive territory coverage planning and growth in
assets under management, while reducing redemption risk. The Angoss
FundGUARD(TM) solution continued to extend its market leadership position in
the North American mutual fund industry, with expansion during 2006 of
subscriptions at current clients, new client signings, and continued expansion
of the Company's opportunity funnel, focused on North American and European
mutual fund industry prospects. Angoss FundGUARD(TM) has generated hundreds of
millions of dollars in incremental assets under management, providing 数据挖掘实验室
significant business insight and value to mutual fund managers seeking to help
their sales organizations achieve improved sales performance and results.

    Angoss ClaimGUARD(TM) System Helps Insurers Grow Premiums, Reduce Costs
    and Flag Abuse

    During the fourth quarter Angoss commenced implementation of the Angoss
ClaimGUARD(TM) system enabling improved fraud and abuse detection and better
insight into the drivers of claims costs at one of North America's largest
benefits insurance carriers. Angoss ClaimGUARD(TM) helps insurers grow premium
revenues by better understanding key drivers of claims costs and outcomes,
reduce loss ratios through more efficient analysis and assessment of claims,
and reduce claims fraud risk. The Angoss solution, implemented in multiple
phases, and available under both licensing and software-as-service delivery
models, enables identification of high risk claim, claimant and care provider
targets in support of the carrier's claims fraud and abuse detection
requirements. Angoss ClaimGUARD(TM) has already resulted in significant,
documented, actionable business value benefits for the client, within weeks of
the launch of the initial solution delivery phase. Angoss expects to continue
to expand its opportunity funnel for the Angoss ClaimGUARD(TM) solution
implementations with North American benefits and P&C insurers during the 2007
fiscal year.

    Angoss Extends Predictive Analytics Solutions and Capabilities to Telcos

    During the fourth quarter Angoss extended its solutions capability in the
telecommunications industry, providing a leading US based telecom carrier with
analytics software supporting credit risk analysis and scorecard development.
Angoss was also selected by one of Canada's leading telecommunications
providers to provide a credit risk scorecard supporting its customer lifecycle
management needs.

    Angoss Analytics Suite Addresses Enterprise Predictive Analytics
    Requirements

    During the fourth quarter Angoss continued to add to its client base
within the global financial services industry, with deployments of
KnowledgeSEEKER(R) (Knowledge Discovery), KnowledgeSTUDIO(R) (Predictive
Modeling), and its newly released StrategyBUILDER(TM) (Decision Optimization)
predictive analytics software suite, including additional deployments at one
of North America's leading financial services organizations, and one of North
America's largest telecom carriers. Moving into 2007, Angoss is positioning
these capabilities for identified targeted enterprise accounts on new
licensing terms that significantly extend business user access to Angoss
products, leverage Angoss' significantly higher ease of use attributes, and
further extend our affordability value proposition by adopting a business 数据挖掘研究院
intelligence based pricing model to the data mining software segment. Angoss
offerings provide significant total cost of ownership benefits over
traditional packaged applications used by expert users for statistical
analysis and data mining. Angoss will be staffing a dedicated demand
generation team with associated investments in market targeting, campaign
automation, and demand creation tools. This realignment and rationalization of
resources is expected to be completed during the first quarter of 2007 and
result in higher productivity and improved margins on analytics software
sales, while maintaining stable overall operating expense levels for the
balance of the year.

    Operations Update

    In January, 2007 the Company relocated to new and expanded premises, with
associated investments in new systems, leasehold improvements and related
areas to support business growth. The relocation is not expected to materially
impact on quarterly operating costs, and the new location provides a better
platform for expanded growth. The combination of seasonal factors and
disruption in normal operations associated with the move, may have some impact
on first quarter results, but the Company's fiscal 2007 outlook is currently
positive.

    Results Summary

    Unaudited preliminary results for the three months and twelve months
ended November 30, 2006 and corresponding 2005 results are as follows:

    <<
    Angoss Software Corporation
    Income Statement Information
    (unaudited, stated in Canadian dollars)


                           Three Months ended        YTD-Twelve Months ended 数据挖掘研究院
                       --------------------------  --------------------------
                       November 30,  November 30,  November 30,  November 30,
                           2006          2005          2006          2005

    Revenues           $ 1,825,819   $ 1,685,300   $ 6,824,114   $ 6,289,016
                       --------------------------  --------------------------

数据挖掘实验室


    Gross margin         1,822,070     1,680,335     6,792,491     6,271,296
    Operating Expenses
      General and
       administration      481,725       342,593     1,668,564     1,488,555
      Sales and
       marketing           887,484       917,281     3,199,698     3,288,078
      Research and
       development, net    377,521       271,597     1,243,737     1,187,954
                       --------------------------  --------------------------

数据挖掘研究院


                         1,746,730     1,531,471     6,111,999     5,964,587
                       --------------------------  --------------------------
    Income (loss)
     before the
     following              75,340       148,864       680,492       306,709
      Other income          31,537        31,670       187,829        62,318 数据挖掘研究院
      Amortization of
       capital assets      (63,632)      (28,667)     (188,304)     (109,487)
      Amortization of
       deferred charges    (22,800)      (27,622)      (81,895)     (107,155)
      Dividend expense     (28,263)      (39,370)     (119,073)     (160,450)
      Foreign exchange
       (loss) gain          86,237       (49,412)      (27,170)      (52,204)
      Stock option

数据挖掘研究院


       expense             (25,105)       (2,679)     (141,000)      (66,012)
                       --------------------------  --------------------------
    Net income (loss)
     for the period    $    53,314   $    32,784   $   310,879   $  (126,281)
                       --------------------------  --------------------------
                       --------------------------  --------------------------

    Basic and diluted
     loss per share    $      0.00   $      0.00   $      0.01   $      0.00
                       --------------------------  --------------------------
                       --------------------------  --------------------------

    Weighted average
     number of shares
     outstanding
                 Basic  39,599,752    39,499,723    39,581,986    39,474,069 数据挖掘研究院
               Diluted  40,830,270    39,627,498    41,526,074    39,474,069


    Selected Cash Flow Information
    (unaudited, stated in Canadian dollars)

                           Three Months ended        YTD-Twelve Months ended
                       --------------------------  --------------------------
                       November 30,  November 30,  November 30,  November 30,
                           2006          2005          2006          2005 数据挖掘实验室

    Cash (used in)
     provided by
     operating
     activities        $   319,088   $   420,837   $ 1,087,160   $   (76,188)
    Cash used in
     investing
     activities            (80,082)      (23,190)     (319,570)     (210,630)
    Cash provided by
     financing
     activities           (597,774)     (590,858)     (493,753)     (617,382)
                       --------------------------  -------------------------- 数据挖掘研究院
    Net (decrease)
     increase in cash
     during the period    (358,768)     (193,211)      273,837      (904,200)



    Selected Balance Sheet Information             November 30,  November 30,
    (unaudited, stated in Canadian dollars)            2006          2005

      Cash and cash equivalents                    $ 2,093,985   $ 1,820,148
      Accounts receivable                            1,831,410     1,809,739 数据挖掘研究院
      Prepaid expenses                                 479,591       232,100
                                                   --------------------------
    Total current assets                             4,404,986     3,861,987
      Other assets                                     441,147       327,032

数据挖掘研究院


                                                   --------------------------
    Total assets                                   $ 4,846,133   $ 4,189,019
                                                   --------------------------

      Accounts payable and accrued liabilities     $   702,243   $   625,917

数据挖掘研究院


      Deferred revenue                               3,201,319     2,635,708
      Current portion of repayable contribution         88,835        79,500
      Current portion of capital leases                 43,379             -
      Current redeemable portion of preferred shares   575,000       575,000
      Other                                             18,333        26,026

数据挖掘研究院


                                                   --------------------------
    Total current liabilities                        4,629,109     3,942,151
                                                   --------------------------
      Repayable contribution agreement                       -        82,151
      Capital leases                                    70,628             -
      Class A Preferred shares, Series 1               520,482     1,030,738
                                                   --------------------------
    Total liabilities                                5,220,219     5,055,040

数据挖掘研究院


    Total shareholders' deficit                       (374,086)     (866,021)
                                                   --------------------------
    Liabilities and shareholders' equity           $ 4,846,133   $ 4,189,019
                                                   -------------------------- 数据挖掘研究院
    >>

    Angoss Software empowers people to make "Better Business Decisions. Every
    Day."(TM)

    Some of the world's leading financial services, telecom, life sciences,
and retail organizations use Angoss predictive analytics software and services
to grow revenues, while reducing risk and cost. Angoss helps our clients
utilize business data to discover the key drivers of behavior, predict future
trends and events, and act with confidence when making business decisions.
    Angoss combines powerful market proven software with focused industry
services expertise in the deployment, integration and use of predictive
analytics in enterprise environments. Our differentiators include broad user
acceptance, a commitment to open standards, rich functionality, rapid
deployment, exceptional ease-of-use and affordability.
    Headquartered in Toronto Canada, Angoss has offices in the UK and 数据挖掘研究院
partners with the world's leading enterprise software and services vendors.
For more information, visit www.angoss.com.

    This press release contains statements of a forward-looking nature. These
statements are made under the "safe harbor" provisions of the U.S. Private
Securities Litigation Reform Act of 1995. The accuracy of these statements may
be impacted by a number of business risks and uncertainties that could cause
actual results to differ materially from those projected or anticipated,
including: the risk that the sale of our products and services involves a long
sales cycle; the risk that the economic environment and business conditions
will remain difficult to predict; the risk of competition in our target
markets; the risk that we may not respond adequately to evolving technologies;
the risk that we or our customers may have difficulties in introducing our
products or services; the risk that we will encounter difficulties in 数据挖掘实验室
continuing to offer services; the risk that we will encounter difficulties in
integrating the operations of acquired companies with our own; the risks of
conducting our operations in a variety of international locations; the risk
that we may need to record future write-downs of assets arising from our
investments in other companies; the risks relating to the costs that we may
incur as a result of litigation against us; and other risks described in our
filings with securities regulatory authorities, including our annual reports,
interim financial statements and similar disclosure documents. Angoss Software
Corporation does not undertake any obligation to update this forward-looking
information after the date of its initial publication, except as required
under applicable law.

    Note: The Toronto Venture Exchange has neither approved nor disapproved
    the above information.
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