- Define-ask questions to determine the root issues to be analyzed
- Identify and document what current process and departments are affected/ involved
- Identify and document all required data points and data dictionaries
- Review and agree on key areas to be measured and/ or 3 gauges to be developed
- Development of project plan
Services
Industries and Data Metrics
Healthcare Analytics
- Patient satisfaction scores
- Length of hospital stays
- Readmission rates
- Mortality rates
- Diagnosis accuracy rates
- Healthcare staff productivity
Accounting/Finance Analytics
- Cash flow projections
- Profit margin ratios
Return on equity (ROE) - Debt-to-equity ratio
- Accounts payable turnover rates
- Accounts receivable aging
Retail Analytics
- Sales revenue
- Customer foot traffic
- Conversion rates
Average order value (AOV) - Inventory turnover rate
- Customer retention rates
Education Analytics
- Graduation rate
- Dropout rates
- Student achievement scores
- Teacher effectiveness ratings
- Enrollment rates
- Student demographics
Hospitality Analytics
- Occupancy rates
- Average daily rate (ADR)
- Revenue per available room (RevPAR)
- Customer satisfaction scores
- Food and beverage sales
- Staff turnover rates
Information Technology Analytics
- Application performance metrics
- Server uptime and downtime rates
- Network latency and bandwidth usage
- User adoption rates
- Software defect rates
- Customer support response times
Your Data Journey is Unique
What parts of your business are working well?
What areas of your business do you want to explore at a deeper level?
What are the key KPIs that you use to measure your business and employee success?
How can you make your business more successful?
What aspects of your business are your pAIN Points?
Why Your Business Cannot Survive without Data Analytics
In today’s fast-paced business landscape, data is king. It’s no longer enough to rely on gut instincts and hunches to make important business decisions. To not only survive but thrive in this data-driven world, businesses need to harness the power of analytics. By analyzing data, businesses can uncover valuable insights that can help them make more informed decisions, identify new opportunities, and stay ahead of the competition.
Klik Analytics can help businesses optimize their operations, improve customer experience, and drive revenue growth. By tracking key metrics and identifying trends, businesses can make data-driven decisions that have a tangible impact on their bottom line. From identifying new sales opportunities to reducing costs and improving productivity, Klik Analytics can help businesses achieve their goals faster and more efficiently. At Klik Analytics, we believe your data can take you places. What’s your destination?
Set up a consultation with our team to find out more
Data Culture Provides Rich Dividends
Our average, across geographies, there was a 46.2% difference between data-leading and data-aware organizations with respect to treating data as an asset and recognizing the value it delivered.
Executives in data-leading companies are eight times more likely to actively use data themselves in their work compared with data-aware companies.
For countries with lower than average scores regarding data investments, low data literacy scores can generally be observed, demonstrating an analogous relationship between investments to realizing the value of data and data literacy.
Steps of analytics process
- Determine if data can be aggregated to a central location
- Formulate plan and test data connections and connect data to central location, if required
- Obtain all relevant data
- Client verifies accuracy of data obtained
- Create up to 3 gauges per month and verify data implemented in gauges/visualizations
- Combine data gauges/visualizations to create dashboards
- Demo new gauges/ visualizations on dashboards and obtain approval for dashboards to be deployed
- Maintenance – maintenance and support for existing gauges/dashboard
- Modification – Unlimited changes for existing gauges/ dashboards
- Augmentation – Creation of new gauges (if new data connections are needed, additional charges may apply)