Advanced Predictive
Analytics & Deployment
Version 1’s Advanced Predictive Analytics & Deployment Solution covers the entire data analytics process from conception design through to analytical deployment and refinement
Extract information from existing data to discover usable insights and predict future outcomes. Output is then deployed to your operational systems in a secure and effective environment.
Combining multiple data sources, Version 1’s APAD solution can extract information from existing data to discover usable insights and predict future outcomes. These insights can be deployed directly into your operational systems to make data driven decisions and improve business processes.
Primary Advanced Predictive Analytics & Deployment Solutions
Version 1’s analytical experts can consult and deliver a wide variety of Advanced Predictive Analytics & Deployment solutions. Read more within the sections below.
Claims Management
Claims management solutions use predictive analytics to help you reduce cycle times and minimize costs while improving the productivity, accuracy, and consistency of your claim-handling process and minimising the risk of fraud.
Claim fraud is increasing and the focus on claim fraud is increasing as well. How do you spot those before a hefty payout is made? Most fraud solutions on the market today are rules-based. Predictive Analytics uses a combination of rules, modelling, text mining, database searches and exception reporting to identify fraud sooner and more effectively at each stage of the claims cycle.
- Combine risk profiles with business rules to resolve legitimate claims in as little as one phone call.
- Streamline claims processes and decision-making, and implement continuous process improvement.
- Make better use of skilled investigators by enabling your staff to focus only on complex claims or high-value suspicious claims.
- Minimise claim payments and reduce fraud with real-time alerts of suspicious activity.
- Improve customer service and keep costs down by streamlining the claim handling process; for example, industry studies show that fast-tracking legitimate claims reduces customer frustration and minimises the likelihood that policyholders will take negative action.
- Decrease the amount of time it takes to process a claim by several days on average by improving claims routing, providing adjusters with suggested tasks and real-time assessment of adjuster statistics.
- Improve subrogation results by focusing on the claims more likely to pay you back.
- Build and use methods for scoring claims particular to state differences, lines of business, or times of catastrophe.
Customer Analytics
Version 1 Customer Analytics Solutions use predictive modelling to target the right customers, identify dissatisfied customers by uncovering patterns of buying behaviour, and address customer service issues faster by correlating and analysing a variety of data. This offers you deep insights into what is important to your customer and can help you establish a dynamic, comprehensive view of individual customers and segments, understand what makes them high lifetime value customers, and ensure customer engagements are consistent, personalised and contextual across all touchpoints.
- Understand the way your customers behave and let this understanding help drive your decision making.
- Connect the right product with the right customer.
- Listen to what your customers are saying and use this information to improve services and become more efficient.
Data Management
Version 1 IBM SPSS Data Management solutions provide a complete set of tools to import, examine and manage data in both IBM SPSS Modeler and IBM SPSS Statistics. Users can manage, analyse, understand, prepare and analyse their data all within one tool.
- Easily Connect to and import data from many formats into SPSS
- Interactive and intuitive tools for data examination and auditing
- Data validation tools to highlight problems within large data files, such as missing data, out-of-bounds values, empty cases, and duplicate records
- Tools that make data cleansing and preparation easy
- Reporting tools that provide a complete overview of data
- Quick process of creating data management assets that can be re-used within your organisation
- A complete set of data preparation tools from sorting, selecting, managing date and time variables, partitioning, merging, creating new fields, and transposing data
The extensive data management capabilities make managing data fast and easy. Increase data accuracy and confidence before running any analysis.
Medical Research
Medical research generates massive amounts of data. Individuals and institutions involved in research rely on Version 1 to efficiently manage data collection, analysis, and reporting leaving more time to focus on the results and insight.
Version 1 SPSS Solutions are easy to use and built on open architectures, enabling users to access and analyse data from various sources and deliver results in multiple ways. Our solutions are scalable, and capable of processing the large volumes of data that healthcare organisations typically generate. All of our solutions incorporate features that protect the privacy of patient and research subject data.
Policy Research
Analysing information about the people you serve is essential. How else can you know if you’re meeting their needs? And how else can you track important trends, like patterns in employment and economic development, in public health, and in the use of agency services? You also want to monitor internal processes and your progress toward goals such as greater operational efficiency.
The data collection reporting and statistical analysis that is a necessary part of these efforts can be burdensome. It becomes less burdensome when you have the right tools and support. Whatever method you use to collect and analyse data about staff or constituents-in-person interviews, phone contacts, paper-based or online forms – Version 1 solutions help simplify and streamline the survey process. Because they are so flexible, these solutions also help your agency increase response rates.
Your department or body can explore many facets of people’s attitudes, preferences, and behaviour, including:
- Attitudes and behaviours that affect individual, family, and community health.
- How satisfied or dissatisfied individuals and communities are with the performance of your agency.
- How satisfied employees are with pay, working conditions, and career options.
Predictive Maintenance
Predictive Maintenance and Quality solutions access multiple data sources in real-time to predict asset failure so that your organization can avoid costly downtime, reduce maintenance costs and improve operational efficiency. Driven by predictive analytics, these solutions detect even minor anomalies and failure patterns to determine the assets and operational processes that are at the greatest risk of failure or that can result in an increased number of faulty products and warranty claims. This early identification of issues helps you deploy limited maintenance resources more cost-effectively, maximise equipment uptime and enhance quality and supply chain processes, ultimately improving financial positioning, customer satisfaction and brand value.
Predictive Maintenance solutions will enable your organization:
- Predict when and where asset failures are likely to occur
- Leverage from the Internet of Things (IoT) sensors readings on instrumented assets
- Combine external data with internal data, such as environmental and weather data with data from Asset Management and Supervisory Control Systems
- Avoid asset downtime and reduce maintenance cost
- Perform root-cause analyses of asset and process failures
- Mine maintenance logs to determine the most effective repair procedures and failure patterns
- Visualize maintenance and operational insights and ensure Operational Efficiency through alarms prioritization and recommendations
Predictive Quality
Predictive Quality solutions will enable your organization:
- Detect emerging quality problems and reliability issues early enough
- Avoid costly callbacks and lost production
- Reduce scrap work, Inspections effort and Warranty claims
- Make adjustments to predictive maintenance schedules and corrective actions
- Maximise shipping rates cost-effectively
- Improve Brand Value and After Sales Support recommendations
Innovative companies consistently look for ways to achieve their goals more efficiently, quickly respond to market changes and take advantage of emerging opportunities. Predictive Maintenance and Quality solutions can help your organisation continuously improve Operational Efficiency by optimizing existing processes and turning operational data into actionable insights. Opportunities to improve operational efficiency, reduce operational costs and maximise productivity, exist in various operational areas, including:
- Workforce and Resources Scheduling
- Equipment and Spare-Parts Inventory
- Capital and Strategic Planning
- Supply Chain Management
- Building Management
- Energy Efficiency
- Facilities Management
Programme Evaluation
In a time of renewed emphasis on accountability, the performance of government programs is coming under closer scrutiny than ever before. Program analysts and managers are being asked to provide directors, department heads, media, and the public with detailed insight into public sector program outcomes.
Traditionally, program assessments included hard data, such as program take up, money spent, and other metrics. This approach, however, provided only a partial view of a program’s effectiveness. Senior-level officials, policymakers, and other stakeholders want to know how a program is viewed by the people who participate in it and by the community at large. In addition, they want insight into results on an ongoing basis, so that programs can be kept in line with the expectations of citizens and policymakers.
Program feedback management helps you to incorporate feedback into program assessments. Through program feedback management, you can:
- Understand exactly how satisfied constituents are with various aspects of a public program.
- Discover potential issues or areas of dissatisfaction and promptly take corrective action.
- Compare program outcomes across time periods and geographic areas.
- Build increased citizen support, as participants and community members see that their feedback is incorporated into program planning.
- More easily determine strategic direction for both existing and proposed programs.
- More confidently prioritise budget spend.
- Meet statutory oversight requirements.
Statistical Analysis
With IBM SPSS Statistics, you can get a quick look at your data, formulate hypotheses for testing, and then carry out a number of procedures to help clarify relationships between variables, create clusters, identify trends and make predictions.
IBM SPSS Statistics enables you to automate basic reporting procedures enabling you to maximise efficiency and save time in the analysis of monthly tracker surveys.
Additionally, IBM SPSS Statistics can help you perform the most basic data management/data transformation tasks, right up to advanced analytical procedures such as predicting behavioural patters.
Statistics can also make it easy to ensure statistical significance in small samples and test hypotheses.
Survey Analysis
Use SPSS to automate the categorisation process and provide greater value to survey research clients
Version 1 fully understands that different types of quantitative market research – such as academic research, consumer market research, product marketing research, and more – require different solutions. That’s why we offer you a full range of options, both in the technology we offer and in the services we provide.
You’re an expert at studying people’s attitudes, opinions, and experiences. We’re the experts at supporting you, offering an array of solutions and services to meet the highest standards of professional survey researchers.
Advanced Predictive Analytics & Deployment Case Studies
Case Study – OTP Bank
OTP Bank wanted to improve the speed and efficiency of its mortgage, loans and lease application processes, and make accurate, evidence-based decisions more rapidly than the competition. Upon implementing IBM SPSS Modeler, they can now uncover patterns and predicts risks associated with each applicant. As a result, the bank can quickly identify and approve those with low risks, accurately assessing borrowers’ credits to develop more precise revenue forecasts.
14 total results
Case Study – APEC
To fulfill its role as a public service organization, APEC produces an extensive collection of case studies and market intelligence reports relating to professional employment.
Case Study – Medway Youth Trust
Medway Youth Trust is a charity that exists to improve the life chances of young people and has current contract responsibility for delivering the Connexions service in Medway.
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Discover More Industry-Specific Solutions
Version 1’s SPSS experts can consult and deliver a wide variety of analytics solutions across a broad range of industry sectors. Find out more at the links below.