About Us
Our Experience
Timely and actionable analytics don't simply emerge from the cloud or a data lake. Consultants often showcase their analytics tools and solutions without addressing the essential data science that powers these tools. Significant effort is required to identify, collect, cleanse, and prepare data in order to enable the robust and meaningful analytics and learning that your organization needs.
Our Approach
Bionic System Analytics combines both data science expertise and business experience to understand an organization’s analytics needs and to streamline the process—from extracting transaction-level data to transformation, data mapping, and the creation of final dashboards or actionable reports. To support this, we have developed a Cloud-based analytics platform that leverages:
• Microsoft Office 365
• Microsoft Azure Data Platform
• Microsoft Suite of ETL, reporting, and business intelligence tools for enterprise-level analytics
In our experience, data within an enterprise is often fragmented and dispersed. Critical information can be hidden within ERP modules on local servers or in the cloud, and important databases are sometimes found on desktop applications like Microsoft Access or Alteryx. As the Internet of Things continues to expand, valuable data can be gathered and mined from various smart devices and connected sensors. To address these data challenges, we first identify the underlying data issues and then map it back to transaction-level details using a cross-functional approach that involves all teams interacting with the data. This helps us understand the process and build a robust data retrieval system with triggers to alert all relevant parties when data structures change.
Why Us?
Through our Managed Services, our experienced Bionics System data science team offers clients a solid and comprehensive menu of cloud data analytics solutions. Our ability to mold our processes to each client’s unique situation, and to work collaboratively with them, has earned the trust of our Fortune 1000 clients. We are ready to work with you to improve your business environment and ensure your path to a cloud platform is a successful one.
Why do you need an data analytics platform ?
Identifying patterns & gaining deeper insights
Identifying patterns & gaining deeper insights
Identifying patterns & gaining deeper insights
Our team partners with system owners to design and prepare data extracts, establishing a secure connection to our cloud platform. Once the data is ingested, we integrate disparate datasets into standardized tables, enabling the design, creation, and automation of analytics. These reports and dashboards can be customized for specific audiences, utilizing the organization’s Active Directory for access control. Additionally, reports can be shared back with the organization to help optimize existing processes as needed.
Advantages of an Analytic Platform
Identifying patterns & gaining deeper insights
Identifying patterns & gaining deeper insights
- Ability to access data from anywhere
- Scalability
- Collaboration across groups
- Intelligent alerts
- Easy to read dashboards and reports
- Built in KPI’s
- Access to hundreds of data sources
Importance of a Data Hub
A data hub or data analytics platform is essential for several key reasons:
- Centralized Data Management: It allows organizations to consolidate data from multiple sources into a single, centralized platform. This makes it easier to manage, access, and analyze data, leading to more efficient decision-making.
- Improved Decision-Making: With advanced analytics tools and real-time data processing, organizations can gain actionable insights that inform strategic decisions, identify opportunities, and mitigate risks.
- Scalability: A data analytics platform can handle large volumes of data, enabling businesses to scale their operations and analyze growing amounts of information as the organization expands.
- Data Transformation and Integration: It helps integrate and transform data from various systems (ERP, CRM, IoT devices, etc.) into a consistent format that can be analyzed, ensuring that data from different sources can be combined and used effectively.
- Advanced Analytics and Automation: Data analytics platforms often include machine learning and artificial intelligence capabilities that automate analysis, detect patterns, and provide predictive insights, helping businesses stay ahead of trends and competitors.
- Improved Collaboration: With a shared platform, teams across departments can collaborate more easily, sharing data insights and reports that align with the organization's overall goals and performance metrics.
- Cost and Time Efficiency: By automating data collection, cleaning, and reporting, organizations save time and resources that would otherwise be spent on manual processes, enabling faster access to insights.
- Real-Time Reporting and Monitoring: A good data analytics platform allows for real-time reporting, so decision-makers can monitor key metrics, track business performance, and respond to changes immediately.
- Security and Compliance: A robust platform ensures that sensitive data is protected and that the organization adheres to necessary data security and privacy regulations, ensuring safe data storage and usage.
- Actionable Insights: Ultimately, the goal of a data analytics platform is to turn raw data into valuable, actionable insights that drive business performance, innovation, and customer satisfaction.
