Step 2 - Analyze

Investing in new technology to analyze data

Once Digital Businesses acquire data, they know how to analyze it. That means data is quickly turned into actionable, decision-ready information.

Digital Businesses analyze data to:

business innovation and competitive advantage compared to slower-moving organizations.
support for new apps and reduce development cycles. 
customers, partners and employees to help boost satisfaction and exceed expectations.
optimal customer experiences without degradation in quality due to application or data latency.

Facing big data

Data overload has made effectively analyzing relevant data increasingly difficult.
IP networks are projected to deliver 321% more data from 2017 to 2022.
An estimated 150,700 GB of data per second will be consumed by 2022.
28 billion connected devices are expected to be in active use by 2022.
Cisco, Cisco Visual Networking Index: Forecast and Trends, 2017 – 2022 Whitepaper, Feb. 27, 2019.

Overcoming data overload

Nimbly handling and taking advantage of large quantities of data requires investments in:
The edge
where data is collected, classified and analyzed before it’s transferred to a central database.
Artificial intelligence
to automate manual processes, detect network anomalies and provide strategic insights.
Machine learning
that allows systems to learn from data and continuously improve from experience.
Internet of Things (IoT)
devices to collect data without human interaction.
Software-defined networking (SDN)
technology that redirects traffic without relying on hardware to make decisions.
Case Study

Better farming with real-time, mobile data analysis

Landmark deploys a mobile app strategy built on CenturyLink Cloud® to empower farmers with real-time data during harvest and planting seasons. The company is on track to raise performance, increase bandwidth and lower costs.
Read the Case Study