Data drives modern business decisions, but managing, analyzing, and deriving insights from that data requires expertise and time that many organizations simply don’t have. That’s where JLytics’ Data Concierge Services come in—providing expert data management and analysis at predictable monthly rates.
Our Data Concierge Service Tiers
At JLytics, we understand that different businesses have different data needs. That’s why we offer two comprehensive service tiers designed to fit various requirements and budgets.
Automated Concierge: $249/month
Our entry-level service provides access to our powerful automated data concierge platform. At just $249 per month, this service includes:
- Automated data collection from your existing sources
- Regular data cleansing and standardization
- Scheduled reports and dashboards
- Anomaly detection and alerts
- Self-service analytics tools
- Email support for technical questions
This option is ideal for businesses that have straightforward data needs and are looking for an efficient, cost-effective solution to manage their data pipeline.
Premium Concierge: $649/month
For organizations with more complex data requirements, our Premium Concierge package at $649 per month includes everything in the Automated Concierge tier plus:
- Dedicated human concierge for specialized requests
- Custom research reports tailored to your business questions
- Integration of new data sources as your needs evolve
- Strategic data consultation sessions
- Priority support with faster response times
- Regular data strategy reviews
The human element of our Premium Concierge service ensures that you have expert assistance when dealing with unique data challenges or when you need deeper insights beyond automated analysis.
Investing in Your Data Future
While these monthly fees represent an investment, our clients consistently report that our Data Concierge Services deliver significant ROI through improved decision-making, reduced internal resource requirements, and the identification of new opportunities hidden in their data.
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