MR in the next 5 years

Digital Transformation, Big data Analytics are the hottest terms around, with lot of confusion even in matured organizations. This is an effort to simplify the area.

Digital disruption is impacting all businesses and forcing them to adapt their business models to the digital world. Organizations that do not change with this new digital paradigm risk going extinct, as seen with companies like Kodak. To survive, businesses must integrate digital practices throughout their operations and customer experience. Successful companies have transformed their business models, trained employees in digital technologies, analyzed customer data to better understand customer needs, and ensured accessibility across all digital platforms and devices. Those that do not evolve with this digital transformation will fail like the dinosaurs.

The increasing number of online retailers on one side and slowing growth of online user population on the other side are the driving forces of change in e-commerce. Number of returning customers is in decline as new competitors are entering the market. Cost of advertising is rising. One-time customers are not profitable anymore so online retailers need to shift focus to retention. In this talk we'll walk you through the process of building the new framework. We'll deep-dive into data-driven digital marketing framework, explain how to use CRM data to enhance your segments and finish up with case studies expaining how to use the new metrics to identify top customers and maximize your profits.

The top 10 future growing industries from 2018-2028 are predicted to be travel, big data, analytics, voice over internet protocol, cloud computing, social media, mobility, clean energy, ecommerce retail, and urban development. The key drivers of growth across these industries include emerging markets, analytics, cloud services, mobile users, renewable energy sources, and urban infrastructure.

The document discusses the future of real-time analytics, highlighting key trends driving this future. It notes that artificial intelligence and machine learning have reached a tipping point and will have a profound impact on commerce. Real-time analytics are becoming increasingly important, moving from daily to hourly to minute-by-minute processing. This allows for personalization, advertising, marketing, and fraud detection in real time using massive amounts of user behavior and other data from sources like the Internet of Things. Lessons learned emphasize the importance of constantly refining customer interactions using a complete view of their journey, acting on insights from connecting new data points, and ensuring analytics support scalability, low latency, high availability, and flexibility.

Social, Mobile, Analytics and Cloud (SMAC) technologies are converging to create new business models and competitive advantages. The rapid growth of data from mobile devices, sensors, social media and websites enables new customer-focused business models built on analyzing customer-generated data. SMAC allows businesses to improve operations and get closer to customers with minimal resources and maximum reach. The document then discusses trends like rising mobile apps and internet traffic, growth of social media, and disruptive technologies. It concludes by stating the author's particular interest in analytics applications like analyzing social networks and predictive analysis of user preferences.

Jean-Paul Edwards, Strategy and Product Development Director EMEA at omd discussing: AI, Marketing and Creativity, applications and implications, at the iMedia Data-Fuelled Marketing Summit, London, Feb 2016. http://www.imediadatasummit.co.uk/

I am applied at @MphasisCareers for the post Intern and the topic for the competition is Social, Mobile, Analytics and Cloud computing (SMAC). Read through my presentation, rate it and comment it if possible. I need all of your support. Thank you

This document discusses opportunities for global IT companies in government contracting. It provides data on projected growth in global and US government IT spending. It also outlines some of the barriers foreign companies face in the US federal market, such as competition, ownership restrictions, and regulations. However, the document notes that foreign-owned companies can succeed through strategies like mergers/acquisitions, joint ventures, partnerships, and teaming arrangements.

In this presentation, Priyamvada introduces the topic of SMAC and associated trends. Her interest area lies in developing simple mobile applications that make customers' lives easier.

Katie delivered a Keynote presentation at the first-ever AI Everything Summit in Dubai (May 2019), organised by the UAE National Programme for Artificial Intelligence, in partnership with Smart Dubai. The event was opened by Shaikh Ahmad Bin Saeed Al Maktoum, CEO and chairman of the Emirates Group. The presentation focused on how to harness AI and maintain the competitive edge. There is a huge amount of hype surrounding AI, as it’s in the Gartner phase of ‘peak of inflated expectation.’ By comparison, Katie shared the evidence and insights drawn from the extensive research she conducted for her new business book. Using Artificial Intelligence in Marketing: How to Harness AI and Maintain the Competitive Edge, was published by Kogan Page in February 2019. It is essential reading for any 21st-century business executive. Katie shared these real-world examples, both successes and failures, as well as practical implementation strategies.

Jenny Thompson, Head of Data Services and Advanced Analytics at Forward3D discussing: Three ways a Data Scientist can help you supercharge your business, at the iMedia Data-Fuelled Marketing Summit, London, Feb 2016. http://www.imediadatasummit.co.uk/

The document discusses how retail is changing in the digital age. It notes that while location still matters, online shopping is growing and changing customer behaviors and retail strategies. New techniques like crowd-sourced data, mobile device tracking, and randomized experiments are discussed as ways for retailers to better understand customers and adapt to the new retail environment.

Cloud Computing technology is a critical enabler of the Industrial Revolution 4.0. As the new Industry Revolution starts the ignition, cloud computing is effectively supporting the developments on the Internet of Things (IoT), automation, and robotics.

- Traditional marketing using non-digital methods like print ads, TV commercials, and brochures will become obsolete as data-driven digital marketing rises (Paragraph 4). - As more data is created and collected, marketing will shift from focusing on brands to understanding individual customers using big data analytics (Paragraphs 8, 10, 14, 15). - By analyzing structured and unstructured data on customer behavior over time, data-based marketing allows companies to improve customer retention, response rates, and revenues through approaches like response modeling and churn analysis (Paragraphs 20, 23, 24).

Kathy Bachmann, Executive Vice President and Managing Director for Americas at MarketShare, discussed what it takes for marketers to understand the future of the global marketplace during her presentation at the 2015 Chief Marketing Officer Leadership Forum in Los Angeles on Jan. 27. In her presentation, Bachmann noted that the rising demand for marketing data has led many marketers to leverage sophisticated technologies, but marketers must understand how to optimize these tools to bolster their marketing campaigns.

Our report will provide a look into the technology landscape of the future, including: - Importance of AI in enabling innovation - Catalysts of future innovations - Top technology trends in 2023-2024 - Main benefits of AI adoption - Steps to prepare for future disruptions. Download your free copy now and implement the key findings to improve your business.

A one page write-up on three upcoming trends in the technology space - IoT, mobile shopping and Predictive Analytics

The rapid pace of digital innovation has media companies scrambling to figure out which new emerging technology will be a hit with consumers and how to reach these consumers on these many new channels. Traditional media like print, TV, radio, and outdoor media will need to take advantage of wearables, beacons, digital wallets, augmented reality, etc and will have to respond to disruptive technology to remain competitive in an increasingly dynamic business landscape.

In this white paper, we’ll spread the light on such issues as: - What big data is - How data science creates a real value in retail - 5 big data use-cases revealing how retail companies can turn their customers’ data in action

big data is data that contains greater variety, arriving in increasing volumes and with more velocity. This is also known as the three “Vs.” Put simply, big data is larger, more complex data sets, especially from new data sources.