As a Information Technology AVP, its very critical for you to understand developing brand strategy is extremely critical. The most important asset your company has is its brand. Quite simply, it drives the direction of your business. So you should definitely have a well thought out brand strategy in place.
Increasing competition in business develops similar products with good quality from different manufacturers. But only an effective, innovative and Digital Strategy & planning can make your business and products more popular.
For your profession as Information Technology AVP it becomes your responsibility to stay connected with like-minded supporting industry experts who can guide and help you deal with your day to day work issues.
Marketing Strategy Business Networking
If you are entrepreneurial in nature owning a business is very exciting adventure. It can also be the most difficult thing for you to get into if you are not prepared.
Keeping a watchful eye on technical innovation is vital to develop a clear vision for the future of any business. But effective strategies for success depend on managers and executives avoiding hidden blind spots and investment decisions that obscure the way forward. Last year, according to World Economic Forum figures, private sector global spending on digitizing business operations exceeded $1.2 trillion dollars, yet just 5% of executives reported being satisfied with the results. In most industries the transition from analog to digital is one of the biggest challenges facing business leaders today. There are 8 common mistakes executives make.
Finding the best way: As with most human activity, planning is everything. The digitization process is a unique opportunity for executives to take a good hard look at their enterprise and ask some important questions:
What digital activities are already underway?
What will the industry look like in 5, 10 or 20 years?
What strategies can the company employ to succeed in a digital future?
What is the end goal of the transition from analog to digital?
Understanding where the business is attempting to go should help avoid some of the following bumps and wrong turns in the journey. Most of the common mistakes executives make with the digitization process relate to investment. Nearsighted investments focus too heavily on the short term, giving insufficient consideration to an organization’s long-term needs. While, farsighted investments focus on future needs with scant attention given to immediate development, which undermines current performance and impacts future goals.
Even when the current and future needs of a business are given equal consideration blind spots can occur, as parts of the business are overlooked by investment and turn into points of weakness that disrupt overall performance. Putting a coherent strategy in place directs funding to areas of the business most in need. As well as scheduling where and when to invest, this strategy prevents executives making “scattershot” small investments without an overall funding plan.
Mind your own business As each organization is unique, no two paths to a digital future are the same. The structure of a business can influence its digitization journey, with heavily centralized companies at risk of suffering from a rigid chain of imposing policy from on high. Similarly, command structures that encourage parts of the business to operate as independent units, or islands, can duplicate investments which also duplicate costs. Every six months the management should ask these questions:
How the digitization of work affects us all?
Why a futuristic digital healthcare system, might not be out of reach?
How can we build a workforce for our digital future?
Enabling change Aside from investment decisions, another common area where mistakes are made relates to the balance of resources and their application. A company’s data, technology, operating model and talent either work to enable digital progress or hinder it. Some companies focus too heavily on building up these enablers, without considering if additional staff, technology and data capacity add value to the business. Whereas, the digital transformation of other companies suffer from a lack of resources to accommodate spending on new business applications.
The new digital reality Image: WEF The pace of technological change is impacting the business and social worlds faster than ever before. A new digital reality is emerging where 85% of customer interaction will take place without humans and where 65% of today’s young will grow up and work in industries or jobs that don’t yet exist. Companies that successfully bridge the gap from analog to digital are in prime position to fully embrace the opportunities offered by a digital future.
Branding Strategies - When a Bargain-Brand Attacks a Premium-Brand
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There’s been plenty of headlines about AI and machine learning being the future of retail marketing. The concept itself can seem overwhelming and out of reach for retailers. However, more marketing organizations are gearing up to add machine learning capabilities sooner than you may think. This article is all about what machine learning marketing is and how it can improve your customer experience.
What is Machine Learning?
84% of marketing organizations are implementing or expanding AI and machine learning in 2018!
If most organizations are implementing it, then what is it? Machine learning is the science of getting computers to learn and act like humans do, and improve their learning over time in autonomous fashion, by feeding them data and information in the form of observations and real-world integrations.
There’s a lot of academic research and forums around the concept of machine learning. For merchants though, machine learning is giving customer data to computer systems so it can analyze the data and automatically learn and improve. Machine learning marketing then is using these types of technologies to provide better services and experiences to your customers. Think of products like Siri, Amazon Echo or services like Facebook’s retargeting ads. No matter how machine learning or AI is being used, it all comes down utilizing accurate customer data.
Benefits of Machine Learning for Commerce
Why are merchants using machine learning and AI? The answer is bettering customer experiences!
75% of enterprises using AI and machine learning enhance customer satisfaction by more than 10%. Customers no longer shop and buy on price and quality alone. They’re looking for intuitive customer experiences that make purchasing easy, convenient, and personalized to their needs. That’s a tall order for merchants, but machine learning marketing is a way to get there.
Here are some of the major benefits of implementing machine learning for your business that help improve the customer experience:
Real-time Marketing across Digital Platforms
Marketing is all about getting the right message to the right person at the right time. Machine learning is now making that a reality for merchants. AI systems have unparalleled level of responsivity when it comes to analyzing customer data and then delivering. For example, technology utilizes a customer’s web history to deliver fast and accurate content based on a customer’s interests.
According to a recent reports, two-thirds of consumers are more likely to buy from a retailer that recognizes them by name, recommends options based on past purchases, OR knows their purchase history. Machine learning can handle your Big Data so you can utilize it to better know your customers. Your customers will actually feel like you know them, not just that you’re selling to them.
Service or Support
A lot of merchants struggle with providing quick and helpful customer support when something goes wrong. With machine learning, you can automate parts of your customer service to ensure quicker response times and offer 24×7 support. As an example, many companies are already using chatbots for part of the process on both their websites and mobile apps to answer easy customer questions.
Future Product Development
If you know your customers better, you also understand their needs. Customer data from machine learning is also valuable for future product development. You can identify customer needs easier and tweak or create new products that you’ll know your customers will love.
Networking has always been considered a powerful tool for improving business prospects, advancing a career, and developing ideas. Other than some brief, structured events, networking has been mostly informal and inexpensive in comparison to cost they otherwise spend on different channels. But membership is growing in many formal, long-term networking groups, and so is the price tag.
Our groups are not groups for generating sales leads, nor are they places where individuals can drop-in to gain quick advice on an immediate challenge. Members also sign a confidentiality agreement and benefits from the guided mentoring to help each other.
These groups include an experienced facilitator and use a structured discussion method to ensure appropriate participation.