A partnership is an agreement where different parties agree to cooperate to advance their mutual interests. The partners in Orchard may be individuals, businesses, governments, and so on. It is a specific kind of legal relationship formed by agreement between two or more parties to carry on business.
A partnership in business is similar to personal partnerships. A successful business partnership requires not just short-term mutual interest but long-term compatibility.
Entering into a business partnership in Orchard can be very exciting. You’ve found someone who shares your vision, works well with you, and has lots of great ideas. To create a partnership business, understand the why of your partner, seek commonality and shared vision, don’t rush the process, write things down.
Be clear on the value you bring to the table. Be honest about why you’re interested in creating a partnership. Understand why your partner is seeking to connect. Best partnerships work because the vision and values are shared as well as passion and enthusiasm. Seal all agreements in writing to avoid messy breakups in future. Contracts preserve relationship, not destroy them.
Tops 7 Mistakes Executives Make When Digitizing The Business
According to John McCarthy, who is the father of Artificial Intelligence, an AI is "The science and designing of making intelligent machines, especially intelligent PC programs".
Artificial intelligence is a way of making a computer robot or a software think intelligently same as an intelligent human thinks. Artificial Intelligence (AI) is the concept of having machines "think like humans".
AI has a huge effect on your life. Whether you are aware or not, it has already influenced your life style and it is very much likely to grow in coming years.
Here are some examples of AI that you are already using in your daily life:
• Your personal assistant Siri - It is an intelligent digital personal assistant on various platform (Windows, Android, and iOS). It provides you an assistance whenever you ask for it using your voice.
• Smart cars - Google's self-driving car, and Tesla's "auto-pilot" feature are two examples of Artificial Intelligence.
• Recommended products or Purchase prediction - Large retailers like Amazon, recommend you the products, send coupons to you, offer discounts, target advertisements on the basis of the shopping you earlier had by a predictive analytics algorithm.
• Music and movie recommendation services - Pandora, and Netflix recommend music and movies based on the interest you've expressed and judgements you have made in the past.
Other simple examples of AI influencing our daily life are:
- Facebook provides recommended photo tags, using face recognition.
- Amazon provides recommended products, using machine learning algorithms.
- Waze (a GPS and maps app) optimal routes, all at the click of a button.
- Spotify knows my music preferences and curates personalized playlists for me.
As per Marc Benioff, AI is going to impact corporate world, employees will be faster, smarter and more productive. It will learn from the data. Ultimately, it will understand what customers want before even they know and it could be a game-changer in the CRM industry.
Salesforce already bought productivity, and machine learning startups RelatedIQ, Metamind, and Tempo AI in 2014.
AI (Artificial Intelligence) in salesforce is not about time-travelling robots trying to kill us, or evil machines using humans as batteries in giant factories. Here we are not talking about some summer blockbusters, we are talking about the salesforce AI which will make your daily experience smarter, by embedding daily predictive intelligence into your apps.
So, what is AI?
AI is not killer robots; it is killer technology.
Artificial Intelligence (AI) is the concept of having machines "think like humans" - in other words, perform tasks like reasoning, planning, learning, and understanding language.
Customer focused AI: Salesforce Einstein
Salesforce is focusing on creating a platform for solving the customer problems across Sales, Service, Marketing and IT in a completely new way by using Salesforce Einstein.
Salesforce Einstein is built into the core of the Salesforce Platform. It enables anyone to use clicks or code to build AI-powered apps.
With Salesforce Einstein, we can have answer of these type of questions:
- Are you sure that you are servicing your customers by the right client?
- Are you sure that your customers are getting services on the right channel?
- Is it correct to say that you are offering the right item to the right customer at the right time?
- Is it correct to say that you are using the right channel for marketing your products at perfect time with best substance?
Salesforce Einstein is your data scientist
Einstein is like having your own data scientist dedicated to bringing AI to every customer relationship. It learns from all your data - CRM data, email, calendar, social, ERP, and IoT - and delivers predictions and recommendations in context of what you're trying to do.
AI has the ability to transform CRM using Salesforce Einstein
- Sales people can spend more time in visiting customers, not in entering data in CRM.
- Sales people can now better understand the customer requirement and when they need it.
- Sales people can close deals faster by predicting the next step for every customer.
- A service agent could suggest a solution to the customer even before he asked for it.
- Service agent can offer cross-sell at the right time to the right customer.
- Marketing user can easily reach to the right customer at the right time.
- Marketing user know who could be the best audience for each campaign.
- He can easily identify the customer requirement so he delivers the perfect content to every customer.
Salesforce Einstein enables everyone to discover new ways, predict outcomes so help in decision making, recommend next steps, and automates most of your activities so that you can spend most of your time in building strong relationship with customers rather than making entries in system.
What will AI give me that I didn't already have?
Predictive scoring -Predictive lead scoring gives each sales lead a score representing the likelihood it will convert into an opportunity. You also get the reasons
behind the score - for instance the lead source, the industry, or some other factor is an especially strong indicator that a lead will or won't convert.
Forecasting -AI can also be used to predict the future value of something, like a stock portfolio or a real estate investment. If you're a sales manager, AI can predict your quarterly bookings and let you know ahead of time whether or not your team is on track to meet its quota.
Recommendations - Anyone who shops online knows that AI makes suggestions for retail purchases, but it can also make smart recommendations for any other product or service category from business software to tax consulting to cargo containers. And AI can also recommend things other than products - for instance, which white paper you should email a prospect in order to optimize your chance to close a deal.
Who can use AI in the enterprise
Anyone in organization can easily use AI to analyze their data, predict and plan next steps, and automate their tasks and decisions. With Einstein's comprehensive AI for CRM:
• Sales can anticipate next opportunities and exceed customer expectations by knowing what a customer needs before the customer does
• Service can deliver proactive service by anticipating cases and resolving issues before they become problems
• Marketing can create predictive journeys and personalize customer experiences like never before
• IT can embed intelligence everywhere and create smarter apps for employees and customers
What is Machine Learning
Machine learning is the core driver of AI. It's the concept of having computers learn from data with minimal programming.
With the support of our professional business network, you get the opportunity to exchange experience and knowledge at a top professional level, and to strengthen and develop your own skills within your management and specialist areas.
Legal structure of partnership will dictate many decisions as to how the business is run.
Main partnership types are:
- General Partnership: formed when all partners participate in business operations and take mutual responsibility for business’s debt. These offer very little protection for partners from liability.
- Limited Partnership: most often chosen when business partners in Orchard are taking an uneven level of involvement in business.
- Limited Liability Partnership: is a structure that limits each individual’s personal financial responsibility.
What’s left unsaid or unplanned often leads to unmet expectations. Partners can clash over countless things.
First, ask yourself do you really need a business partner to build a successful business in Orchard? Test the partnership out by tackling a small project together. Business partnership can end bitterly. Be especially careful when partnering with close friends or family members. Thoughtfully plan and prepare for every aspect of partnership in advance so there’s no question about how difficult situations will be handled. Create a partnership agreement with help from a lawyer and an accountant. Agreement should address compensation, roles and responsibilities, exit clauses. Outline your expectations for how you’ll operate your business.
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.
Artificial Intelligence: The Next Tech Bubble or the Changing Face of Technology
Market segmentation is widely defined as being a complex process consisting in two main phases:
- identification of broad, large markets
- segmentation of these markets in order to select the most appropriate target markets and develop Marketing mixes accordingly.
Everyone within the Marketing world knows and speaks of segmentation yet not many truly understand its underlying mechanics, thus failure is just around the corner. What causes this? It has been documented that most marketers fail the segmentation exam and start with a narrow mind and a bunch of misconceptions such as "all teenagers are rebels", "all elderly women buy the same cosmetics brands" and so on. There are many dimensions to be considered, and uncovering them is certainly an exercise of creativity.
The most widely employed model of market segmentation comprises 7 steps, each of them designed to encourage the marketer to come with a creative approach.
STEP 1: Identify and name the broad market
You have to have figured out by this moment what broad market your business aims at. If your company is already on a market, this can be a starting point; more options are available for a new business but resources would normally be a little limited.
The biggest challenge is to find the right balance for your business: use your experience, knowledge and common sense to estimate if the market you have just identified earlier is not too narrow or too broad for you.
STEP 2: Identify and make an inventory of potential customers' needs
This step pushes the creativity challenge even farther, since it can be compared to a brainstorming session.
What you have to figure out is what needs the consumers from the broad market identified earlier might have. The more possible needs you can come up with, the better.
Got yourself stuck in this stage of segmentation? Try to put yourself into the shoes of your potential customers: why would they buy your product, what could possibly trigger a buying decision? Answering these questions can help you list most needs of potential customers on a given product market.
STEP 3: Formulate narrower markets
McCarthy and Perreault suggest forming sub-markets around what you would call your "typical customer", then aggregate similar people into this segment, on the condition to be able to satisfy their needs using the same Marketing mix.
Start building a column with dimensions of the major need you try to cover: this will make it easier for you to decide if a given person should be included in the first segment or you should form a new segment. Also create a list of people-related features, demographics included, for each narrow market you form - a further step will ask you to name them.
There is no exact formula on how to form narrow markets: use your best judgement and experience. Do not avoid asking opinions even from non-Marketing professionals, as different people can have different opinions and you can usually count on at least those items most people agree on.
STEP 4: Identify the determining dimensions
Carefully review the list resulted form the previous step. You should have by now a list of need dimensions for each market segment: try to identify those that carry a determining power.
Reviewing the needs and attitudes of those you included within each market segment can help you figure out the determining dimensions.
STEP 5: Name possible segment markets
You have identified the determining dimensions of your market segments, now review them one by one and give them an appropriate name.
A good way of naming these markets is to rely on the most important determining dimension.
STEP 6: Evaluate the behavior of market segments
Once you are done naming each market segment, allow time to consider what other aspects you know about them. It is important for a marketer to understand market behavior and what triggers it. You might notice that, while most segments have similar needs, they're still different needs: understanding the difference and acting upon it is the key to achieve success using competitive offerings.
STEP 7: Estimate the size of each market segment
Each segment identified, named and studied during the previous stages should finally be given an estimate size, even if, for lack of data, it is only a rough estimate.
Estimates of market segments will come in handy later, by offering a support for sales forecasts and help plan the Marketing mix: the more data we can gather at this moment, the easier further planning and strategy will be.
These were the steps to segment a market, briefly presented. If performed correctly and thoroughly, you should now be able to have a glimpse of how to build Marketing mixes for each market segment.
This 7 steps approach to market segmentation is very simple and practical and works for most marketers. However, if you are curious about other methods and want to experiment, you should take a look at computer-aided techniques, such as clustering and positioning.
Addressing the issues upfront will help you better focus on your business later. Set expectations for a successful business partnership. Know your relationship with your business partner. Know your financial roles and viewpoints. Know your exit strategy. Agree on structuring your partnership.