Database Design and Support
Building, maintaining, and leveraging data is a key competency of Utile. Our expertise
ranges through ETL processes, data warehousing, data mart creation for specific
business units, generating custom views, and creating summary reports/dashboards/monitoring
tools. In other words, Utile helps move data up the “valued chain” efficiently in
order to generate “information” (as an intermediate by-product) and ultimately “intelligence/insights”
that drive business goals. Utile’s capabilities in this field can be classified
- Database Design and Support
- Business Intelligence
Optimal database design makes all the difference in using and analyzing data. Utile
utilizes proven technologies to design databases that provide businesses with maximum
data usability. Our solutions integrate with a variety of leading tools, platforms
and analytical features supported by popular database servers. Utile’s capabilities
in this field include:
- Data requirements analysis and cleansing.
- Logical and physical design using efficient data flows, structures and relationships.
- Create tables, views, cluster/non-cluster indexing, constraints and SQL code.
- Develop data marts for custom applications.
- Schedule back-ups.
- Perform data assessment and encryption.
Data Mining/Statistical Modeling Support
Utile has extensive experience in summarizing business data into customized reports,
metrics dashboards, exception reports, and alerts customized across devices (e.g.
mobile and PC). Automated reports (i.e., the foundation of Business Intelligence
- BI) can be built by processing real-time data from multiple sources. Utile has
supported clients in the delivery of:
In addition to automated BI reporting across key platforms and tools such
Cognos, Business Objects, and Tableaux, Utile has assisted clients in:
- Product portfolio (key metrics and benchmark tracking) reports.
- Customer acquisition summary reports.
- Transactional summary reports for products and marketing channels.
- Demographic reports.
- Financial summary reports etc.
- Designing interfaces for external databases
- Developing VBA/Macro based spreadsheet engines to perform redundant tasks
Data mining and advanced statistical modeling have revolutionized the way we leverage
data for business decision making. Utile’s statisticians leverage data via SAS and
SPSS suites (i.e., SAS Enterprise Guide, Miner, SAS/JMP, PASW Statistics, and SPSS
Clementine), in conjunction with other business intelligence tools and data warehousing
platforms (e.g.., Cognos, Business Objects, SQL Server etc.) to design, build, score,
maintain, update, and deploy statistical models and tools. Using advance data mining
techniques such as decision tree based techniques (i.e., CHAID, TreeNet), logistic
regression, clustering, factor analysis, and neural network based techniques, Utile
has provided quantifiable benefits to clients in the financial services space via:
Utile has a consultative approach to model development wherein business
goals are kept in the forefront, while putting together the technical requirements.
In other words, we match our technical prowess with our “business goal centric”
hat, and optimize against time and budget constraints.
- Better customer segmentation to drive optimal marketing/targeting strategies.
- Predicting customer attrition and developing pro-active retention strategies.
- Developing marketing response and net-lift models to improve Marketing spend ROI.
- Advancing risk management models to improve underwriting practices and fraud mitigation
Model validation and audit protocols are shared and agreed upon upfront with the
client to ensure “top-of-line” quality and to minimize iterations. In addition,
Utile takes complete ownership of the scoring, updating, maintenance, and deployment
of all models – a hassle-free, “one-stop shop” for all aspects of statistical model
Utile helps businesses segment their customer/prospect bases into specialized clusters
that are distinct in their needs, demographics and behavior. Such models help plan
specialized offers for different segments. They support product development in identifying
customers with distinct product and service needs and channel managers to understand
the optimal combinations to communicate with them. From a business profitability
standpoint, these models help define the hierarchy around which customers to “acquire”,
“grow actively”, “maintain”, or not focus on.
Customer retention is a critically important business goal in today’s competitive
arena. Utile helps predict which customers are most likely to churn from a product/service
or entirely from the firm.
Response and Net-Lift Models
In addition to predicting churn, Utile has conducted advanced factor analysis to
help clients understand the drivers and triggers for churn, and to develop counter
strategies. This has helped retain the most profitable customers – the “holy grail”
in any consumer/subscription based business model.
Utile builds effective predictive models to identify those customers who have the
highest chance of responding to a particular marketing activity – be it a cross-selling
effort, changing channel behavior (such as shifting customers to a low-cost channel),
educational outreach that drives new customer acquisition etc. This helps optimize
Marketing spend and get the “Right Offer to the Right Customer/Prospect at the Right
Time”. In addition to predicting gross response, Utile has delivered true “Net-lift”
focused solutions using decision trees.
Risk Management Models
Utile designs these models with great precision by testing numerous demographic,
environmental and behavioral factors that impact consumer responses to any marketing
stimuli and bring significant changes in product buying behavior.
Utile helps financial enterprises adopt an analytics-driven risk management approach across the account lifecycle – i.e., from acquisition to managing collections. It has provided analytics support to financial services clients to:
- Manage and predict allowance for loan losses.
- Enhance fraud mitigation strategies.