For 60 years, marketers have been building products that anticipate the needs of consumers. The difference now is that we have the data and tools to understand these needs in various contexts. Customers have been segmented by groups for more than 10 years, but Big Data allows us to classify individual customer needs and act in real time. Continue reading “Analytics to Predict Customer Behavior” »
In a bid to deliver high quality healthcare care and improve patient satisfaction, public and private sector hospitals are today looking at streamlining workflow processes, integrating healthcare related data and securing information exchange. Like many developing nations, India too is exploring all ways and means in providing good, cost effective healthcare to its citizens. In doing so, healthcare organizations are increasingly realizing that IT solutions can actually help them meet this challenge by optimizing resource allocation and plugging inefficiencies that cause delay in treatment. One of the technology solutions that can be leverage quite effectively by healthcare organizations is big data analytics which can go a long way in reducing the cost of healthcare care and improving patient outcomes which in turn could pave the way for a new age in healthcare. Continue reading “How Big Data and Analytics Can Reshape Healthcare” »
As per Gartner the cumulative big data spending for the period 2011 through 2016 will reach over $232 billion. As of 2013 nearly two thirds of organizations have invested, or expect to invest, in big data technology in the next 24 months.
The topmost big data concerns of these organizations are:
• Improving customer experience
• Improving process efficiency
• Getting value from big data Continue reading “Businesses are making enormous investments in big data initiatives” »
The explosion of data, its criticality, and the increasing dependency of businesses on digital information is leading to larger and more complex information storage environments that are challenging to manage.
Organizations evolve over a period of time by creating value, and to create value quickly and cost-effectively they select technologies that can facilitate that growth.
That being said, let us look at the key challenges for data storage and how new trends can potentially impact a much larger market with the value proposition they are bringing in.
IT/storage managers and storage professionals across companies of all sizes face the following mission-critical challenges:
• Managing storage growth
• Designing, deploying and managing backup, recovery, and archive solutions
• Making informed strategic/big-picture decisions
• Designing, deploying, and managing disaster recovery solutions
• Designing, deploying, and managing storage in a virtualized server environment
• Addressing the lack of skilled storage professionals
• Designing, deploying, and managing storage in cloud computing environments
• Addressing the lack of skilled cloud technology professionals
• Convincing higher management to adopt cloud
• Providing infrastructure for Big Data analytics
• Managing external cloud service providers
Trends in Data Storage
- Cloud: Amazon EC2, Redshift, etc. Value: subscription based and on demand elasticity
- Open source: HDFS, HIVE, Cassandra, MongoDB, Rocks DB, etc. Value: performance & relative cost
In memory: HANA, etc. Value: Performance
Now organizations need to decide if they are satisfied with the current storage mechanisms or they need to upgrade their data storage architecture with the one or combination of the latest technologies to get optimal benefit.
As depicted in the picture above data storage market is at the conjunction point of maturity and latest innovations in the same area. Organizations need to realize that it would be beneficial for them to increase the pace of growth with the adoption of latest technologies in the data storage area.
And the best way to do this would be to identify the use cases, which would bring in value to justify their investment in new technologies and then begin to evolve further.