Everyone in the business intelligence field has an opinion about how to harness the power of big data analytics. Like the intrepid explorers of the past, innovation in BI depends on solid footing from the start.
Lets assume that your entire organization had access to the following building blocks:
Data: All sources of data from the enterprise (at rest and in motion)Analytics: Queries, Algorithms, Machine Learning ModelsApplication Business Logic: Domain specific use-cases / business problemsActionable Insights: Knowledge of how to apply analytics against data through the use of application business logic to produce a positive impact to the businessInfrastructure Configuration: High scalable, distributed, enterprise-class infrastructure capable of combining data, analytics, with app logic to produce actionable insights
Imagine if your entire organization was empowered to produce data-driven applications tailored specifically for your vertical use-cases?
See on jameskaskade.com
by Anjul Bhambhri.
Expert integrated systems are far more than “just an appliance.” These systems can incorporate several major components designed to allow businesses to reduce the high costs and increasing complexity associated with managing information technology:
1. “Scale-In” System Design.
2. Patterns of Expertise.
3. Cloud Ready integration.
4. Integrated management for maximum administrator productivity.
As workload-optimized systems, these solutions embed integrated expertise patterns that help automate and optimize the work of human administrators.
See on www.dataversity.net
In the enthusiasm around big data, there has been little discussion about what that data might uncover. Privacy issues will surface as data analytics becomes able to reveal identities by combining what was previously considered anonymous data with location and purchasing information.
See on www.informationweek.com
Big data is giving rise to a new breed of services aimed at helping over-burdened IT departments take on the challenges of data analytics without investing in additional infrastructure. And vendors of all sizes are getting in on the action.
See on www.cio.com
Extracting business value from the data can offer tremendous benefits to companies. But figuring out how to do that task across an enterprise is a huge challenge, analysts said.
See on www.computerworld.com