Condé Nast chose KnowledgeSEEKER when looking to extend its in-house marketing analytics capabilities with an enhanced approach to customer segmentation and direct response modeling. The company wanted to leverage existing data analysis software tools and improve ease of use and integration with existing data mining tools and database systems.
Capital Card Services provides industry-leading servicing and portfolio management to meet the needs of credit card issuers across the United States to over 500,000 cardholder accounts. The company wanted to apply data analysis software and predictive analytics to its business model in order to meet its strategic objectives of improved efficiencies and productivity.
PC Financial wanted customers to redeem their loyalty points for general merchandise and planned to launch a print catalogue campaign to support this objective. The company was looking to reduce the high costs of direct mail campaigns and increase campaign response rates. PC Financial worked with Angoss to optimize marketing campaign performance.
The explosive growth of the Internet in the last decade motivated one of Canada’s largest directory publishers to undertake business process re-engineering in its sales and marketing operations. The company delivers print services for more than 340 directories, 420,000 advertisers and 30 million in circulation annually. By optimizing its sales and marketing analytics with Angoss business intelligence software, this media leader now enjoys an online reach of more than 41% to online Canadians.
Preferred Credit embarked on a project in 2009 to enhance its statistical underwriting abilities in order to improve collection recoveries. The company understood the value of an analytical approach to its business and evaluated several vendors before choosing KnowledgeSEEKER as its statistical analysis software platform. The solution helps the company identify and understand key drivers and trends across customer segments.
One of the challenges many sales and marketing organizations face is data overload. Being able to organize, analyze, assess and act on the data flowing from their operational systems can be daunting with many stakeholders, siloed data sources and a lack of adequate tools and resources. Angoss predictive analytics solutions for the telecommunications industry are specifically designed to help sales and marketing operations discover data-driven patterns, relationships in their data that impact activations and other Key Performance Indicators (KPIs). As a result, telecom providers are able to identify new market and customer segment opportunities to drive revenue growth.
Bell Canada provides more than 28 million customer connections throughout Canada. This leading telecom provider was challenged to continually grow market share in the face of increasing competition in an open market for telecommunication services. The marketing operations team at Bell Canada was tasked with executing more targeted, intelligent campaigns that would attract customers to product offers, reduce customer churn and reduce the level of effort required of sales support.
Pharmaceutical companies continue to reduce their direct/field sales forces and seek alternative solutions to improve sales and marketing efficacy. Predictive analytics is becoming increasingly critical for business success. Sales and marketing managers, faced with the challenge of doing more with less, are looking beyond traditional “business intelligence” and “sales force automation” tools to gain predictive insights that can improve sales force productivity.
Credit risk analysis is integral to every step of the credit lifecycle process, from prospect and customer segmentation to origination scorecards and the design and execution of account management and collection strategies. However, obtaining the source information needed to perform advanced data analysis is equally challenging. Angoss predictive analytics solutions for credit risk are specifically designed to help risk managers discover the data-driven patterns, relationships and rules that are essential to understanding customer credit data. In addition, credit analysts can use these insights to predict the future profitability, value and risk of their credit risk management decisions.
A savvy analytical software consumer, Sainsbury's Finance department understands the value of its customer data. The company has been active in leveraging this rich information source for customer acquisition, retention and cross-sell/upsell. With millions of customers in its database, the company required an analytics solution that was fast, flexible, user-friendly and capable of handling large volumes of data. After rigorously evaluating many software options, Sainsbury’s Finance selected KnowledgeSTUDIO for its superior quality in all categories.
With more than 30 years of investment experience and more than $85 billion in assets under management (AUM), this leading mutual funds management company is no stranger to the unique and multi-faceted challenges of growing and retaining assets through a large and diversified financial advisors network. The company selected FundGUARD for its simplicity, versatility and quality. As a result, it has realized significant growth in AUM and improved sales productivity.