Data Science –

Predictive Analytics and AI/ ML

IBM SPSS

IBM SPSS is a stack of advanced analytics technology in the field of Data Science. With a 40+ year history, organizations worldwide have realized significant value through the use of the rapid prototyping capabilities provided by SPSS. Aviana has a proven track record using its collective experience showing how predictive solutions can make processes better throughout the industry and across government agencies.

The ability of the world to collect and store data has been growing at an exponential rate. In spite of the data explosion, relatively few have made the transition into the mathematical engineering of the future, but that is where we live today. IBM-SPSS technology was built to provide lay business users with the ability to work from a business process perspective, and manage their data through a set of tools that have the analytic engineering embedded within easy-to-use displays.

With the universe of data expanding come great challenges for people tasked with analytics. Clients have more technology choices available to them than ever before. How do you position? Information velocity is accelerating. How do you keep pace? In this emerging world, fickle is the new stable. Word of mouth travels at the speed of light. The questions emerge: How do you respond? How do you react? How do you analyze the information flow? How do you even capture the data and stage it correctly? Having a comprehensive data and advanced analytics strategy is the answer.

Aviana has vast experience with IBM SPSS platform for developing predictive solutions in many industry verticals namely, Healthcare, Government, Retail, Hospitality & Gaming, Manufacturing, Telecommunications, Technology, insurance, banking, Media, Pharmaceutical and Biotechnology.

Data Science & AI/ ML

Developing custom Artificial Intelligence (AI) and Machine Learning (ML) solutions to solve business problems that have a high impact on improving the efficiency of your company is one of the best investments you can make. Our team of highly-qualified data scientists will help you make sense of your data, make informed decisions and allow you to analyze and solve key business problems. Our Data Scientists can help you in unlocking the information you need to drive efficiency, reduce costs, and improve profits.

Our AI/ ML consulting and Development team has vast experience developing solutions for companies in different industries, generating results in a fraction of the time by leveraging our existing AI infrastructure, simplifying the development process, and reducing your costs. Our team specializes in developing Anomaly/ Fraud detection solutions for Government, healthcare, and insurance industry verticals.

Businesses large and small invariably experience data-related problems that are a hindrance to implementing effective advanced analytics solutions. To minimize the effects of these data issues, we practice a design process involving planning, building, testing, and iterating as quickly as possible. We strive to develop solutions in an iterative approach and hone in on the most useful problems to solve. We realize this is the most effective way to deliver transformative solutions that produce expected results for the clients consistently.

Our Approach

We recommend and follow iterative development practices. We plan, build, test, and iterate as quickly as possible.

Data is complex, diverse, often noisy and incomplete. Finding actionable insights and making reliable predictions from data requires a consistent process, one that Elite Analytics has perfected over the years.

Understanding the Business Situation – Moving beyond the business objectives and functional requirements.

Understanding the Data Situation – We identify the critical data assets for analysis, keeping in mind the practical constraints necessary to implement these in your business processes.

Data Preparation – We have developed an extensive portfolio of ‘features development templates,’ which we have successfully applied across many projects.

Iterative Approach – Our approach ensures your business stakeholders have checkpoints along the way to understand the results of technical work as it’s developed.

Explainable Results – We always prefer explainable models to obscure ones, taking care to balance accuracy, interpretability, and complexity.

Operational Outcomes – The most effective analytics artifacts are those that are truly embedded within your business processes.

Large and Small

Businesses large and small invariably experience data-related problems that are a hindrance to implementing effective advanced analytics solutions. To minimize the effects of these data issues, we practice a design process involving planning, building, testing, and iterating as quickly as possible. We strive to develop solutions in an iterative approach and hone in on the most useful problems to solve. We realize this is the most effective way to deliver transformative solutions that produce expected results for the clients consistently.

Research and Insights

August 16, 2019 in AI, Data Sciences

Tired & Stressed – The Effect of Modern Families on Little Ones

Parenting is a roller-coaster ride of guilt and pride, especially if both you and your spouse are working. There has been a sharp increase in the number of families where both the parents are working than the previous decade, and unfortunately, it might be somehow…
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August 9, 2019 in AI, Data Sciences

AI is transforming “hidden” food trends into new products

Companies like Conagra are using AI-based platforms to launch new products quickly to capitalize on changing consumer trends Food and flavors have long been imperative to human civilization, and as consumers are becoming savvier with their food choices and home cooking, insights gained by using…
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August 8, 2019 in AI, Data Sciences

Reduce Loan Delinquencies by Leveraging Machine Learning

After the financial meltdown of the last decade, many lenders have found themselves in a tough situation where they just cannot use the conventional underwriting guidelines to identify enough “good borrowers” to whom they can lend money. For example, subprime auto lender Prestige Financial Services…
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November 6, 2018 in Data Sciences, Featured

Building a team of “Citizen Data Scientists”

Building a team of “Citizen Data Scientists” – a practical experience view Unless you are allergic to every new hype word coming out of Gartner and other high profile research firms, you have probably heard the term “Citizen Data Scientist” a few times over the past…
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Videos and Tutorials

6 Minutes to Better Customer Analytics

Applying Analytics to Adapt to Moving Financial Targets

Predictive Analytics to Better Identify Target Markets

Leveraging Advanced Analytics to Improve Donor Management