My API story: Data-intensive APIs
Herfini Haryono, VP of Industry Verticals, OmniSci discusses how the company is using TM Forum's Open APIs to provide clients with operational insights pulled from large datasets in real time.
03 Jul 2020
My API story: Data-intensive APIs
Though there has been a global proliferation of data stemming from increasing technology innovation and usage, the sheer volume and resulting complexities mean that many organizations struggle to effectively utilize any of it. Herfini Haryono, VP of Industry Verticals, OmniSci, talks to us about how the company has endeavored to step beyond the limits of mainstream analytics tools by using TM Forum' s Open APIs to provide clients with real time operational insights pulled from vast datasets.
Tell us about yourself and your job.
I lead OmniSci’s go-to-market focus on several verticals, including telecom. The OmniSci platform is used in business and government to find insights in data beyond the limits of mainstream analytics tools. The OmniSci platform can query, filter, and visualize billions of rows of data in milliseconds. Major telecom companies rely on OmniSci to get speed-of-thought answers to critical operational questions, from ever-growing volumes of data.
Why do you believe in TM Forum’s Open API program?
What TM Forum Open APIs are most valuable to your company?
OmniSci is a platform for joining, querying, and visualizing large datasets. OmniSci users see value in a number of data-intensive TM Forum Open APIs to pull data from their systems into OmniSci for speed-of-thought analysis and decision making. The TMF628 Performance Management API and TMF666 Account Management API, are two examples.
Why did you choose to highlight those APIs?
Our platform is most relevant to APIs that provide access to large datasets, the results of which are typically joined with other data, to provide operational insights. Both the Performance Management and Account Management APIs provide that kind of data access.
How do you use the APIs?
Our users employ these APIs to pull data from their existing systems into OmniSci’s accelerated analytics platform. This can be implemented as a one-time ingestion from their data at rest, or with ongoing updates, to give the user near-real-time access to all their data. Our users will typically pull data from multiple sources, using multiple APIs, and combine that data for deeper insight, either by joining tables using python or SQL, or by visualizing the multiple datasets on a single chart.
I lead OmniSci’s go-to-market focus on several verticals, including telecom. The OmniSci platform is used in business and government to find insights in data beyond the limits of mainstream analytics tools. The OmniSci platform can query, filter, and visualize billions of rows of data in milliseconds. Major telecom companies rely on OmniSci to get speed-of-thought answers to critical operational questions, from ever-growing volumes of data.
Why do you believe in TM Forum’s Open API program?
Open APIs build markets and unlock critical value for CSPs by connecting systems and encouraging interoperability. TM Forum’s Open API program is an excellent example of how to do it right.
What TM Forum Open APIs are most valuable to your company?
OmniSci is a platform for joining, querying, and visualizing large datasets. OmniSci users see value in a number of data-intensive TM Forum Open APIs to pull data from their systems into OmniSci for speed-of-thought analysis and decision making. The TMF628 Performance Management API and TMF666 Account Management API, are two examples.
Why did you choose to highlight those APIs?
Our platform is most relevant to APIs that provide access to large datasets, the results of which are typically joined with other data, to provide operational insights. Both the Performance Management and Account Management APIs provide that kind of data access.
How do you use the APIs?
Our users employ these APIs to pull data from their existing systems into OmniSci’s accelerated analytics platform. This can be implemented as a one-time ingestion from their data at rest, or with ongoing updates, to give the user near-real-time access to all their data. Our users will typically pull data from multiple sources, using multiple APIs, and combine that data for deeper insight, either by joining tables using python or SQL, or by visualizing the multiple datasets on a single chart.
To read more from the My API Story series visit our webpage here.
