The problem was that the database technology simply couldn't handle multiple, continuous streams of data. It couldn't handle the volume of data. It couldn't modify the incoming data in real-time. And reporting tools were lacking that couldn't handle anything but a relational query on the back-end. Big Data solutions offer cloud hosting, highly indexed and optimized data structures, automatic archival and extraction capabilities, and reporting interfaces have been designed to provide more accurate analyses that enable businesses to make better decisions.
Better business decisions means that companies can reduce the risk of their decisions, and make better decisions that reduce costs and increase marketing and sales effectiveness.
Inysol 's big data consulting and implementation services start with understanding your needs and assessing your technology infrastructure before devising a strategy for implementation.
Using data to generate business value is already a reality in many industries. With the advent of the "Internet of things," improved analytics and increased connectivity through new technology and software bring significant opportunities for companies. For example, at Siemens, this is transforming the way maintenance services are delivered, from reactive approaches to predictive and preventive maintenance.
But we do see companies facing challenges in leveraging the value that data have to offer.
Leveraging data means working with a strong and innovative technology partner that can help create the right IT architecture that can adapt to changes in the landscape in an efficient manner.
The exponential growth in data is increasing day to day. Driven by increase of devices, emerging channels of data creation and consumption in the volume, velocity and variety of data.
Organizations need to analyze rapidly changing data.
The amount of data that's being created and stored on a global level is almost inconceivable, and it just keeps growing
We at Inysol would like to reveal how you can handle Big Data and convert it to 'smart vision.
Our Big data team thinks SMART
S-Start with strategy
M- Measure metrics and data
A-Apply Analytics
R-Report Results
T- Transform your Business
And provide the best solutions for client's data.
Our Analytics and Modelling solutions cover 6 areas of expertise
Understanding the relationship between level of risk exposure, the impact on profitability, service to customers, staff and infrastructure
Developing models to evaluate and inform mitigation strategies for operational asset and investment risk
Advising on how new sources of data and insight can be used to drive improved performance
Using "war game simulations" to inform and train organizations of the impact of the digital revolution
It's an open-source software framework for distributed storage of very large datasets on computer clusters. All that means you can scale your data up and down without having to worry about hardware failures
Cloudera is essentially a brand name for Hadoop with some extra services stuck on. They can help your business build an enterprise data hub, to allow people in your organization better access to the data you are storing
MongoDB is the modern, start-up approach to databases. Think of them as an alternative to relational databases. It's good for managing data that changes frequently or data that is unstructured or semi-structured
Talend is another great open source company that offers a number of data products, focusing on their Master Data Management (MDM) offering, which combines real-time data, applications, and process integration with embedded data quality and stewardship.
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