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THE USE CASE FOR BIG DATA

Data is undeniably the currency of our digital world and companies are wrestling with ways to make better use of their data to innovate and compete. Key technology trends, and changes in the way customers want to consume information, are driving tectonic shifts in the data paradigm - all of which are generating massive amounts of data. Companies must rethink how they harness that data, or risk being left behind.

THE DATA PARADIGM HAS SHIFTED

INTERNET OF THINGS

Industrial Internet
Connected Business
Consumer Devices

ARTIFICIAL INTELLIGENCE

Smart Devices
Autonomy
Prescriptive Analytics

CLOUD COMPUTING

SaaS/Paas Applications
Ephemeral Use Cases
Operational Efficiency
Collaboration

STREAMING DATA

Real-time Applications
Targeted Retail
Recommendations
Industrial Applications

THE CHANGING CONSUMPTION TRENDS

Search
Recommendations
Reviews

Summon my service
Frictionless commerce
Instant feedback

Immersive
Ambient
Physical meets digital

Big data creates new opportunities but increases challenges

Smart mobility, the internet of things, digital personalization and cloud computing are changing the way businesses operate, run and achieve objectives. Companies have invested in big data technologies with the vision of enhancing customer experiences, driving product innovation, and harnessing real-time insights for business decision-making and operations.

Data is created, utilized and managed at various locations and at varying speeds. Data can be structured or unstructured, generated by humans or by machines and sensors. Companies are realizing that current approaches to big data architecture fail to achieve a consistent and trusted view of information across their enterprise, let alone reach their vision.

Is your organization experiencing any of these issues?

Inability to capture unstructured data hindering the capability to gauge customer sentiment

Lack of ability to capture and leverage edge data impeding nimble decision making

Incapability to use sensor edge data to create predictive insights to avoid asset downtime and failure

Lost operational efficiencies resulting in excess inventory and increased cost of goods sold

Lack of resources to leverage data for predictive automated use cases throttling fraud detection

Inability to prioritize and keep all your valuable data resulting in lost historical insight, impeding product innovation

Hampered marketing and sales efforts impacting revenue and retention

Growing business needs a modern big data architecture

Enter the Connected Data Fabric Architecture, a modern big data architecture that supports the growing needs of businesses. With a Connected Data Fabric Architecture, organizations can harness real-time insights from a multitude of big data types, sources, and locations. Companies gain a competitive edge by accelerating the delivery of new and actionable insights through advanced automation and intelligence to support new and emerging use cases such as IoT analytics, customer intelligence analytics, proactive fraud prediction, risk analytics, real-time analytics, and multi-dimensional views of the customer.

Benefits include: