Last Wednesday I presented a webinar in conjunction with TM Forum on the benefits associated with streaming analytics for CSPs. During the presentation we covered a variety of topics including the important differences between batch and streaming analytics, how streaming analytics fits into the big data ecosystem, what problems and opportunities can be addressed by streaming analytics, and real-world use cases illustrating the power of streaming analytics in action.
Tags: Communications Service Providers, communication service provider, stream processing, Streaming Analytics, CSP, Streaming Big Data Analytics, streaming data, streaming real-time data analytics, streaming data analytics, streaming big data
The proliferation of Machine to Machine (M2M) and Internet of Things (IoT) initiatives has created a new set of challenges and opportunities for CSPs. In addition to managing large-scale mobile networks, CSPs must now monitor, manage and address issues affecting a larger and more diverse population of connected devices.
It’s that time of year again – the kids are back in school, the leaves are starting to turn, and the holidays are hovering right around the corner. Retailers have been hard at work for months already, launching back-to-school programs in June, rolling into Halloween in August and gearing up for Thanksgiving and Christmas sets earlier than ever before.
Tags: Streaming Analytics, Streaming Big Data Analytics, supply chain management, supply chain, supply chain visibility, streaming data, streaming real-time data analytics, streaming data analytics, streaming big data
On Wednesday September 17th I will be presenting a webinar at 8:00AM PST in conjunction with TM Forum on how telecommunications service providers can leverage and benefit from streaming big data analytics to improve the customer experience.
Annual back-to-school shopping has traditionally been a highly anticipated event for parents and children alike – families pile into the car and head out to load up on clothing, shoes, school supplies, backpacks and more. Once they arrive at the retail establishment, they are greeted with impressive seasonal displays swarmed by kids and their parents frantically grabbing and stocking up on the essentials before they sell-out.
Quick service restaurants thrive when they successfully understand and complement a customer’s routine – a daily cup of coffee complemented by a savory pastry, Friday night movie with a slice of pizza, Two-For-One Taco Tuesday, and more. Perceived value – both monetary and experiential – is the key driver of the quick serve restaurant (QSR) model from the customer point of view.
It’s more good news from the Nokia Innovation Challenge – a selected jury comprising 30+ members representing SVP/ VP/ Director level executives from Nokia Networks CTO group, Mobile Broadband Business Unit, Services Business Unit, Nokia Technologies, Nokia Growth Partners and external service providers and innovation consultants awarded Vitria a demo spot win.
Tags: Continuous Real-Time Analytics, Big Data Analytics, customer experience, Big Data, Bigdata, Customer Experience Management, real-time data analytics, big data solutions, real-time streaming analytics
For telco providers, streaming analytics capabilities are crucial for optimizing their network performance, improving the customer experience, increasing retention rates and reducing costs. Ari Banerjee, Senior Analyst at Heavy Reading, recently published a report that succinctly outlines:
Tags: customer experience, Streaming Analytics, telcos streaming analytics use cases, Heavy Reading, fraud prevention, Customer Experience Management, real-time streaming analytics, real-time one-to-one marketing
I hosted a webinar yesterday that featured a live demonstration of Vitria’s streaming analytics solution. The webinar drew 340 registrants across a host of industries. Dr. Dale Skeen, CTO & Co-Founder of Vitria, kicked off the session by succinctly defining streaming analytics and differentiating it from BI and other batch-oriented analytics approaches. He then delved into the kinds of business problems that are best addressed with streaming analytics using customer stories. My personal favorite is how O2 uses streaming analytics to excel at real-time one-to-one marketing. By correlating customer movements over time along the set of cell sites that serve the Eurostar route - while masking out other local train services along the same route - this mobile operator is able to predict which customers are about to leave the country and can then send them a highly targeted and timely marketing offer – before they reach their destination and turn off data roaming.