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Medical Care Analytics

Medical Care Analytics:

Maximise the effectiveness of your healthcare business by ensuring precise and accurate outcomes across the commercial, clinical, and operational aspects

What We Do:

- Enhance Doctor-to-Patient Ratios:

Optimize staffing to ensure patients receive timely care.

- Boost Care Efficiency and Quality:

Streamline operations to deliver high-quality healthcare.

- Drive Patient-Centric Innovations:

Leverage data to improve patient outcomes and experience.

Financial Services Analytics:

Create an analytics strategy that uncovers possibilities to boost revenue, enhance productivity, and mitigate risk. Streamline repetitive analytic processes and implement statistical models with or without coding

What We Do:

- Uncover New Business Opportunities:

Financial services individuals can find new business possibilities, lower attrition, more easily comply with regulatory requirements, and satisfy ESG standards with automated analytics

- Tailor Customer Solutions:

Develop customised solutions for customers and minimise customer attrition Minimise risk and establish strong governance and protection measures for personal data.

- Streamline Analytics Strategy:

Develop an analytics strategy and ensure a centralised platform for effective collaboration across departments

Financial Services
Analytics for Retail and Consumer Packaged Goods

Analytics for Retail and Consumer Packaged Goods:

Companies in the retail and consumer packaged goods industry can achieve significant business results by utilising analytics automation to analyse both internal and external data. This allows them to gain valuable insights into consumer requirements, including product preferences, shopping channels, and other factors that impact consumer demand.

What We Do:

- Streamlining The Analytics Process By Preparing And Blending Data:

Streamline the process of preparing, blending, and integrating both on-premise and external data sources to effectively support a wide range of analytics use cases, from descriptive to prescriptive.

- Utilising Advanced Analytics:

Utilise predictive and prescriptive models to forecast, identify trends, predict outcomes, and provide solutions to complex business inquiries.

- Deploying Predictive Models:

Assist teams in seamlessly integrating predictive models into their business processes, regardless of their coding proficiency in R and Python.

Analytics for the Manufacturing Industry:

Manufacturers can accomplish game-changing business outcomes by using analytics technology on both internal and external information to create a useful understanding of consumers’ needs across products, services, channels, and other demand-influencing elements

What We Do:

- Event Activating:

Utilise advanced models to automate the initiating of shipments, materials, sales, and other processes.

- Analytical data and survey:

Transform your analytic processes with our survey on how your product is conducting in the market that can be executed using custom datasets and inputs.

Manufacturing Industry

Oil & Gas Analytics:

Utilise data-driven solutions in the processing of oil and gas.

What We Do:

- Optimize Decision-making in Exploration:

Aggregate and integrate many data types such as geographical, geological, seismic, weather, and others, to enhance decision-making in exploratory activities related to drilling and bidding.

- Predictive Maintenance:

Utilise predictive analytics to forecast outages, identify the underlying reasons for failures and reduce the amount of time that systems are not operational.

- Cost Analysis and Performance Metrics:

Conduct a comparison between the real costs and the projected costs at the individual well level. Additionally, compute other important performance measures related to capital investment to gain a deeper understanding of drilling and completions

- Maximize Production Efficiency:

Examine the efficiency of infill drilling to increase production from current land holdings and assess the difference in performance between neighbouring wells and preceding primary wells to optimise productivity and minimise resource utilisation.

Analytics for Higher Education:

Empower faculty, staff, and students with the knowledge necessary to enhance results and establish long-lasting professional paths.

What We Do:

- Optimize Recruitment Strategies:

Optimise your recruitment efforts by effectively targeting students with tailored messaging and analysing your results for continuous improvement.

- Streamline Admissions Processes:

Understand your funnel. Stay in tune with the needs of your students and streamline your reporting process.

- Maximize Student Success:

Maximise student success by identifying potential factors that may lead to attrition, proactively addressing students' needs, and providing support at every step of their academic journey.

- Drive Institutional Advancement:

Enhance submitting reports, funds strategy, alumni relationships, and foster collaboration across departments to drive institutional advancement.

Higher Education
Public Sector analytics

Public Sector Analytics:

Utilise the potential of your government statistics to expedite results for learners and citizens.

What We Do:

- Provide Practical Insights for Transformation:

Decision makers in government and higher education grapple with urgent questions that demand valuable insights. Tackle the challenge directly with flexible and reliable analytics and data sets that provide you with the practical insights necessary to bring about meaningful transformation.

- Automate Daily Tasks:

Streamline your daily tasks with automated preparation, blending, and reporting

- Utilize Location Intelligence:

Enhance your understanding with geographic information and location intelligence

- Harness Cloud Capabilities:

Utilise the cloud to enhance processing speed with in-database capabilities.

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