What is Data Modernisation?
Data modernization is the movement of data from legacy mainframe databases to modern databases. An enterprise’s ability to compete in the digital age rests on business agility. Cloud, mobile, and big data analytics not only help enable that agility, but also require agility.
Data modernisation is a central pillar of digital transformation because traditional architectures like data warehouses and data marts can’t accommodate the volume and variety of unstructured data being generated from email, social media, and Internet of Things (IoT) sensors and other devices. Moreover, the pre-defined reporting that characterises traditional data warehouse initiatives delivers a historical view, as opposed to the real-time intelligence that is crucial for today’s fast-paced digital business environments.
Companies are moving from huge repositories holding transactional data to an era where companies need machine learning algorithms, robotics, and linguistics to run their businesses and create new customer experiences
Question: What are the business outcomes of Data Modernisation?
ROI
Elimination of operational bottlenecks & identify ROI impacts on company’s assets
Equipment
30% improvement in utilisation at equipment level
Delay Reductions
20-25% reduction in scheduled/non-scheduled delays
Question: How can simplyai help your business?
Answer: simplyai delivers:
Dedicated team to build an in-house capability for your organisation or be your delivery partner.
- Data Platform modernisation
- Data in the Cloud
- Data value chain
- Business Intelligence
- Big Data / Fast Data
- Data Virtualisation