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.
Of 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.
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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?
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.