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At IQZ, our Data & Analytics team mates focus on transforming an organization from transactional data to predictive data. We do that by following modern data architecture principles that utilize real-time or close to real-time technical tools and technologies to bring relevant and timely data into the hands of your stakeholders.
The Advantages
Our Data and Analytics practice offers the following solutions:
Our Data and Analytics practice offers the following solutions:
Data Virtualization
Let us move from the traditional ETL process to near real-time, combining data from different sources using data virtualization. Data Virtualization drastically reduces the time to collect, combine and transform data and deliver insights from weeks to on-demand. Data discovery is enabled using data catalogs, and data enrichment is done on the fly while maintaining data security.
Data Insights
From customer acquisition to trend analysis, including risk management solutions, analytics plays a huge role in moving an organization towards prescriptive data capabilities. We have built some advanced visualization and analytics studies that span terra-bytes of data in many vertical industries. In turn, these insights have assisted our clients in becoming data-savvy.
DaaS
Touted as a leading data management strategy, Data as a Service (DaaS) utilizes data as an asset for extreme business agility. We have partnered with clients who wanted to tap into their increasingly vast and complex data sources to serve business insights to users. The result has been data democratization, enabling our clients to turn data into accurate insights to make business decisions.
Data Security
In today’s world, data lives everywhere – on-premises, private & public cloud, and hybrid storage. Plus, the remote workforce does pose challenges to secure data access. IQZ utilizes data security technologies like tokenization, masking, encryption using vaulted or vault-less approach to access sensitive data using well-architected data access patterns.
DataOps & MLOps
Data engineering pipelines can get quickly complicated if you don’t automate your end-to-end data workflows/loads so that your business can easily access data and make decisions. Imagine the complexity when deploying changes to Machine Learning (ML) models. Our team has codified these practices, so you can accelerate the iterative-incremental process in DataOps and MLOps to deliver intelligent software.
Data Fabric
Data management across different environments needs an integrated & agile approach to enable digital transformation. Business needs to meet the demand for real-time and event-driven data analytics, plus enterprise data assets keep exploding daily. We have built our expertise to design a scalable data integration layer that can analyze metadata and serve data readily to power your business applications.
Data Virtualization
Let us move from the traditional ETL process to near real-time, combining data from different sources using data virtualization. Data Virtualization drastically reduces the time to collect, combine and transform data and deliver insights from weeks to on-demand. Data discovery is enabled using data catalogs, and data enrichment is done on the fly while maintaining data security.
Data Insights
From customer acquisition to trend analysis, including risk management solutions, analytics plays a huge role in moving an organization towards prescriptive data capabilities. We have built some advanced visualization and analytics studies that span terra-bytes of data in many vertical industries. In turn, these insights have assisted our clients in becoming data-savvy.
DaaS
Touted as a leading data management strategy, Data as a Service (DaaS) utilizes data as an asset for extreme business agility. We have partnered with clients who wanted to tap into their increasingly vast and complex data sources to serve business insights to users. The result has been data democratization, enabling our clients to turn data into accurate insights to make business decisions.
Data Security
In today’s world, data lives everywhere – on-premises, private & public cloud, and hybrid storage. Plus, the remote workforce does pose challenges to secure data access. IQZ utilizes data security technologies like tokenization, masking, encryption using vaulted or vault-less approach to access sensitive data using well-architected data access patterns.
DataOps & MLOps
Data engineering pipelines can get quickly complicated if you don’t automate your end-to-end data workflows/loads so that your business can easily access data and make decisions. Imagine the complexity when deploying changes to Machine Learning (ML) models. Our team has codified these practices, so you can accelerate the iterative-incremental process in DataOps and MLOps to deliver intelligent software.
Data Fabric
Data management across different environments needs an integrated & agile approach to enable digital transformation. Business needs to meet the demand for real-time and event-driven data analytics, plus enterprise data assets keep exploding daily. We have built our expertise to design a scalable data integration layer that can analyze metadata and serve data readily to power your business applications.
Other Core Solutions
Other Core Solutions
Application Modernization
Modernization of legacy to new platforms or applications, bringing in new functionality to meet business outcomes. Reduce TCO, achieve cost optimization, and generate new revenue streams.
Modern Workplace
Build digital collaboration solutions to improve the productivity and efficiency of your team. Establish a culture of innovation by utilizing the latest and greatest technology to empower your customers and employees.
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