Gain new levels of business insight. Fully integrate new insights into your existing systems. Prepare a new marketing campaign that capitalises on the new intelligence
With artificial neural networks you can take advantage of the hidden value of your data to predict trends and make informed decisions
Trained neural networks can forecast capabilities and describe functional relationships which you can put to use immediately
Banks, hospitals, retail, real estate, international business, energy consumption, and more can all benefit from these networks
Model underlying patterns and gains superior predictive tools to reduce risk in product innovation
Artificial neural networks can simultaneously analyse vast amounts of data to identify hidden associations and their importance
: With artificial neural networks you can take advantage of the hidden value of your data to predict trends and make informed decisions
Recommend the right next product to the right customer will improve profitability of the company
So, how can BISEES solve these problems for your customers?
Several on-premises or cloud-based data warehouses are available. AWS Redshif, Azure SQL Data Warehouse, Snowflake, and Teradata are some of the offerings that compete Exepno Performance Management Solution. So why should a customer choose to migrate their workloads with us?
A serverless approach to data analytics removes system engineering requirements from data analysis. It makes time-toinsights faster, reduces operational overhead with data analytics, and dramatically reduces total cost of ownership.
The time-consuming work of provisioning resources gets eliminated and downtime is reduced with all ongoing maintenance, including patches and upgrades, handled by the serverless infrastructure. In addition, our serverless approach allows customers to keep their focus purely on analytics. This means they can move away from the nightmare of having to manage technical infrastructure at scale
One of the biggest concerns from customers is being locked into a public cloud provider.
Lock-in makes a customer dependent on the products and services of a particular cloud provider, leaving them unable to use another vendor without substantial switching costs. Open cloud portability means that a customer can easily walk away with their data at any time, and this is a major advantage over our competitors.
Generally speaking, machine learning on large data sets requires extensive programming and knowledge of ML frameworks. These requirements can restrict solution development to a very small set of people within each company, and they exclude data analysts who understand the data but have limited machine learning knowledge and programming expertise.
Exepno with its integration of big query ML learning through existing SQL tools and skills.
They can use BigQuery ML to build and train ML models directly in BigQuery. This removes the need for analysts to export small amounts of data to spreadsheets or other applications, as well as wait for limited resources from a data science team. exepno has also ready was ML molds that will be trained on your crunch data
Our powerful streaming ingestion captures and analyzes data in real time—meaning that a customer’s latest business data is immediately available for analysis—and ensures insights are always current.
But here’s the thing: customers are simply not used to getting real-time insights out of their data. When they say "real-time," they probably mean 15 minutes or maybe even hours. Exepno, however, gives customers true real-time insights into what’s happening in their business, down to seconds!
Imagine giving customers the ability to share petabyte-sized datasets with their coworkers, clients, or partners in the exact same manner that it’s possible to share Google spreadsheets and documents: by keeping the data in one place and simply modifying Access Control Lists.
Traditional cloud data warehouses recommend spinning up disparate clusters and loading data into those clusters. This, of course, increases complexity, cost, and operational overhead. Exepno’s approach is elegant and efficient and is afforded by BigQuery’s unique serverless architecture.