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Assurety Consulting & Solutions brings a deep understanding and implementation expertise of Business Intelligence and Analytics to our clients in the federal government, postal, parcel, shipping, direct marketing, commercial mailing, banking, logistics, border security, e-commerce, higher education, federal and local government operations, and for legal firms supporting their litigation through data analytics and reports.
We have over 16 years of experience and expertise in BI and analytics, and more than a decade of experience in developing predictive and prescriptive analytics. Utilizing both open sources stacks Python, R, MySQL, MongoDB and others, as well as enterprise stacks such as SAS, MicroStrategy, and IBM SPSS on cloud (Azure & AWS) and on premise. We use data to answer critical business questions, building models to explore future opportunities, and developing controlled and repeatable processes that integrate into existing client workflows.
For example, customers work with Assurety to develop analytics platforms to optimize operations, improve the customer experience and increase revenues. Building upon the analytics capability, adding additional external and unstructured data feeds, we enable our clients to leverage from advanced analytics, including predictive and machine learning algorithms that can prescribe the outcomes.
Assurety has over a decade of developing data-driven risk-based programs for financial fraud, credit card and loan fraud, cross-border narcotics, guns, illegal animal parts and other contraband fraud and postage and customs fraud predictions, identification, detections and referrals. Assurety has extensive experience in credit card fraud, undervalued e-commerce payments, underpayment of customs fees and more. Criminals are always finding new ways to exploit mail processing weaknesses, and Assurety is using predictive analytics and modelling to stay one step ahead of them in all the industries we serve. Read more about Fraud Detection, the fastest-growing segment of our BI & Analytics business.
In the changing economic landscape with increased competition, decision-makers need reliable, timely and accurate information to make better decisions. Successful enterprises use patterns yielded from data to formulate and drive their business strategies.
Assurety develops business intelligence applications that deliver exceptional value and high ROI to customers. Within a limited timeframe, these data-driven organizations excel at a rapid pace, with an embedded high performing culture complimented by the ever-reliable single version of the truth.
a) Study & Recommend phase: This phase assesses the current state after engaging with all stakeholders and business, data partners. A business requirement document is prepared along with an implementation road map. The roadmap is composed of recommendations related to the organizational readiness, overall business analytics strategy and a BI platform that can match the needs.
b) The implementation phase: This phase starts with data capturing, integration, data governance and MDM, preceded by Extract Transform Load (ETL) scripting and development of the data warehouse.
Assurety autonomously examines data using its technical and statistical expertise for business processes. We use techniques that are beyond traditional business intelligence. It enables businesses to reveal more in-depth insights, generate predictions and prescribe recommendations. The exploration and diagnostic process make it possible for our clients to explore new revenue prospects, avoid costs and enhances proactive decision making.
Business intelligence tells the story of data, while advance analytics can cater to future scenarios and possible solutions to uncertainty. Advanced analytics can be a continuation of a BI implementation or initiated separately depending on various readiness factors.
c) Data preparation: This phase includes understanding and formulating a business problem followed by integration of internal, external or machine-generated data (IoT), and finally, data transformation and governance rules are formed before the next phase.
d) Advanced Analytics: The subject data goes under data engineering or application of data sciences, including data modelling or wrangling. Predictive and prescriptive models powered by machine & deep learning are built to augment human decision making. The next step is the formulation of an intelligent enterprise where AI and cognitive sciences are used to provide automated suggestions based on self-learning and diagnosis.
Assurety consultants are equipped with industry-leading tools and technologies.