Tag: BigData

Big Data for retailers and competitive intelligence

Competitor intelligence is a specific type of market intelligence. As a result, a good quality provider of market intelligence should offer competitor intelligence as part of its range of services. According to the definition, we found in Wikipedia, competitive intelligence as:
‘The action of defining, gathering, analyzing, and distributing intelligence about products, customers, competitors, and any aspect of the environment needed to support executives and managers making strategic decisions for an organization’.
Literally, it means to know what is going outside of your business, in order for you and your products to be competitive and relevant to the market. It is inevitable when talking about retailers and competitive intelligence, not to talk about big data. And it is not just big, but it gets bigger every single day. The question here is if retailers could control the data gathering and how to manage the whole process. The truth is that there is more information available to the business than ever before. However, information that can really help a business make decisions is scarce and valuable. So you should pick and gather preferably. It is extremely difficult to measure the ROI of market intelligence, respectively of customer intelligence; nevertheless, it is clear that the price of projects broadly reflect the potential benefits. The most expensive studies are market entry intelligence studies, on the basis of which huge investments are often made (or avoided). 10 days left till the 6th Global Webit Congress in Turkey. Our speakers have prepared plenty of good practices for you, so book your tickets now!

Webit speakers: Aurelie Pols, Digital Analytics

Meet Aurélie Pols, Webit Speaker, Chief Visionary Officer & Founder of Mind Your Group. She will be joining us at the blue track of the Global Webit Congress. Aurélie has extensive background and experience in Digital Analytics. She pioneered Digital analytics in Europe by stating vendor independence and focusing on the interaction of tools  and data to support business strategies.This allowed her to co-found OX2 in Belgium in 2003, which was successfully sold to UK based Digitas LBi (Publicis) in 2008. In 2012 she co-founds Mind Your Group in Spain addressing issues revolving around digital analytics, including Social Media and Privacy. Dedicated to analytics since 2001, she is listed in Avinash Kaushik’s top 10 analytics blogs. She is Web Analytics Demystified’s initial principal consultant for US based web analytics guru, Eric T. Peterson. polsOf International background she was Globalization Chair for the Digital Analytics Association (DAA) and serves on the Board of Stockholm’s eMetrics Marketing Optimization Summit. Today she speaks at various events such as eMetrics, O'Reilly's Strata and the IAPP, The International Association of Privacy Professionals. After a decade of gathering technical knowledge about the use of analytics tools through a range of certifications, she focuses on delivering value to the bottom line with keeping an eye on data protection legislation, pushing a Privacy by Design agenda. Her main focus, besides coaching analysts and data officers, are data integrations and vizualizations; digital analytics teams with their HR set-up & Privacy within the context of Big Data. She will be presenting her experience and knowledge at the blue track of the Global Webit Summit. The topic that she will be presenting is: "Assessing Risks in the Cloud to fuel Big Data Initiatives". Join the discussion at the 6th Global Webit Congress in Istanbul. Come join Aurelle Polls and over 200 distinguished speakers at the Global Webit Congress. Book your ticket now.

Big Data, Big Cloud and Big Risks

Initially the trend was about processing the Big Data inputs to render helpful insights. Storing enormous data from various sources in the Big Cloud is rewarding and cost effective. At the same time, it creates Big Risks of cyber attacks for businesses. Big Data 1.0 was about processing massive data inputs to render insights. The next wave is about stitching data together, putting it to work while taking advantage of SaaS cloud solutions. Big Cloud can be an outstanding way for cost-effectively deliver enormous value to businesses, using employee and customer data. Big Risk are associated with data breaches dominating the headlines lately. It is vital that companies protect their information, while respecting compliance requirements. The Big Cloud session of the blue track at the Global Webit Summit will explore future trends and topics related to Big Data, the Big Cloud and associated Big Risks for businesses. Aurelie Pols, Chief Visionary Officer at Mind Your Group, and many other distinguished speakers at the blue track of the Global Webit Congress will present their experience and advice that can be useful to industries cope with risk assessments, technical planning and ongoing training to hedge against new cyber risks. Join the discussion at the 6th Global Webit Congress in Istanbul. Book your tickets now!

Internal Data Science and the Hypercomputing Future

The great majority of scientific research rely heavily on our ability to extract value out of data. Challenging the way we capture, store and process data is fundamental for our ability to fully capitalize on the promise of data. Currently this “internal” aspect of data science is largely neglected, and receives only little attention or funding in academia or commerce. At the blue track of the Global Webit Congress, we realize that Big Data, Big Cloud and real time data analytix are trends of the future. That is why the speakers at the blue track of the Global Webit Congress together with 400 investors, 300 accredited media and thousands of C-level attendees will discuss such hot future topics as:
  • Internal Data Science: The mythical art of high performance computing…is it alchemy?
  • Brand New Computing: How to increase computational output 1000 times without spending more
  • Hypercomputing: What is it and why don’t we have it already?
Join the discussion by booking your place at an early bird price until the end of August.

The Future of Cloud Computing and Big Data in Healthcare

In a fast changing connected world, healthcare as we know it is changing fast. Our everyday life styles and health habits are changing also thanks to the new possibilities offered by technological advances in Big Data and Cloud Computing. Together with Tech leaders, influential Founders, CTOs, CIOs of the world’s most innovative companies, disruptive start ups, top talents, and over 400 investors and 300 accredited media we will discuss these Future trends in healthcare at the blue track of the Global Webit Congress. Cloud Computing and Healthcare In a widely connected Internet of Things (IoT) world, that is becoming predominantly mobile, the current trend is to collect and store information in the Cloud. Cloud Computing allows fast access to the stored data in real time from anywhere. Businesses are increasingly moving toward cloud software services that cost less and are easier to manage. In Healthcare, digital records are stored and managed in the cloud. Healthcare indicators like heart rate, blood pressure, glucose levels are collected and sent to the cloud via wearable devices. Physicians are uploading information about their patients and sharing it with their colleagues. The critical information uploaded in the cloud is analyzed for better outcomes and access of the data. Companies like Salesforce, SAP SE, IBM and Oracle Corp among others, are investing in software and solutions targeted at specific sectors such as healthcare to boost growth. Big Data and Healthcare All this Big Data accumulated in the cloud can improve patient outcomes. Using new technologies Big Data is processed and analyzed to identify new  trends and solutions that would otherwise be invisible or hard to track. Hospitals can now identify in real time the occurrence of patients with a highly contagious illness. Physicians can examine the information gathered from a patient and identify trends in treatment using data from a pool of other patients stored in the cloud again in real time. Using a desktop PC or an iPad, Android or Windows mobile device they can get to and manage this data from anywhere.  Previously undiscovered negative drug interactions could be identified almost immediately using big data. The future possibilities of analyzing and making useful Big Data in healthcare are promising. Combining Cloud Computing and Big Data will lead to fantastic increases in efficiency and improved patient outcomes. At the blue track of the Global Webit Congress, we will be discussing the interconnection of Big Data, Cloud Computing and Health Care. Join in the discussion by applying for an early bird ticket  

The Future of Big Data, Big Cloud and Connected Devices

We are living in a constantly changing, complex, interconnected world. We are seeing all kinds of connected devices all around us both at home and at the enterprise. All these connected devices create enormous amount of data, Big Data. The great challenge facing us is what to do with it. How to make it useful. At the blue track of the Global Webit Congress we are presenting speakers from leading companies that will discuss trending topics like Big Data, Big Cloud, Connected Devices and IoT.
Connected Devices at Home
Consumers are using more and more mobile devices in their everyday life. Smartphones and tablets are connecting us to the world around us. The new trend of "wearable "connected devices are linked to our mobile phones and tablets and can measure and transmit via sensors all kind of data. At home, we see ordinary devices like thermostats, lights, garage doors and kitchen appliances all becoming "smart". These devices are connected and can be controlled with a smartphone. They have the ability to autonomously adjust settings, alert users based on information and sensors from other devices both within the home or on our wrist. All these connected devices interact with each other and create Data. Lots of it.
Connected Devices at the Enterprise
At the enterprise level, the trend is of using smartphones and tablets for business needs. Enterprises see this as an excellent way to increase employee effectiveness. This creates a lot of data and enterprises are looking for ways to use all this accumulated data for its business needs. To add to all this many industrial devices are also being connected and this is a future trend. Again, this creates data, big data.
Big Data and Big Cloud
All data that we see accumulated has to be useful for both the consumer and the enterprise. It has to be stored, analyzed and automated. The Internet of Things (IoT) is creating a completely new ecosystem of interconnected devices both at home at the enterprise and all around us. In addition, all these connected smart devices are creating Big Data that is being stored in the cloud. The challenges ahead are how to make all this data useful. We are just in the beginning with many challenges ahead in making this data useful. It is not surprising that companies like IBM, Cisco, Qualcomm Ventures, Intel, Microsoft, Amazon, Google and many others are looking at real time solutions to store, share, analyze and automate this Big Data in the Big Cloud. At the blue track of the Webit influential Founders, CTOs, CIOs of the worlds most innovative companies; disruptive startups, top talents, over 400 investors and 300 accredited media will take part in the Leaders of the Future tech discussion. Join them and get an early bird ticket now!

Most Recent