A Comprehensive Guide to Overcoming the Most Common Data Integration Challenges

Insight development is based on gathering information, then data integration and analysis. However, organisations often find this challenging due to multiple sources, formats and time scales. Do you?

Many companies struggle to benefit from all their data and information because they don’t know how to turn it into insight, or their insights remain interesting but not actionable. There are many reasons for this.

From data quality issues to technological limitations and resistance to change, organisations must navigate a complex landscape to unlock the full potential of their data.

This comprehensive guide delves into the ten most common challenges in insight development, offering detailed analysis and strategies to overcome each obstacle, ensuring your organization can harness data for strategic advantage.

If you prefer to listen rather than read:

 

What an Actionable Insight Really is

I get so frustrated when people refer to numbers, data, or the findings from research projects as insights. None of these are!

In addition, developing actionable insights from a single survey is rare.

The reason is that insight development, getting to that “aha” moment that everyone immediately understands and wonders why no one thought of before, needs a 360 perspective of the challenge or opportunity under investigation and uses information from multiple sources.

There are many definitions of insight, but the one that I use, and that resonates with my clients, is a statement that impacts the attitudes or behaviours of current or potential customers/shoppers of a brand or category based on a human truth that results in an emotional response.

At first glance, this may seem like quite a mouthful, so to simplify retention, I refer to it as ABCDE:

A = Attitudes and Actions

B = Brand or Category

C = Customer, consumer, client or shopper

D = Deep human truth

E = Emotional response

To fast-track your understanding, here are some great examples of the insights behind some of the best-known brands:

  • Heineken Jillz: I want to drink alcohol on a night out, but I don’t like beer and wine is too variable in quality.
  • Kraft Philadelphia: Food is delicious, but I don’t want to eat too much fat (butter versus cream cheese).
  • DTC Diamonds: I want to stand out (shine), but as a modern woman, I also want to be seen as gentle and feminine.
  • Unilever Dove: I want to be admired for my beauty on the inside, not for what I look like on the outside.
  • AXE (Lynx in UK): I (young men) want to attract as many beautiful and sexy women as possible.
  • Haribo Starmix: There’s a child inside every adult.
  • Dulux sample paint pots: I love to decorate my home, but I don’t want to look stupid by choosing the wrong colour.

You’ll notice that most are written in the first person as if the target audience is speaking. This makes it much easier to understand and resonate with the reader without much effort … Click to continue reading

Do Less Market Research But Know Much More About Your Customers

Do you always need the market research studies you run?

You might have seen a recent post of mine on LinkedIn where I said how frustrated I am with marketers who start with a survey when they have a question, rather than ending with one.

If you too have this habit, then I want to share how you can do fewer surveys and yet still know much more about your customers. 

Let me start by saying that I am not suggesting that companies don’t run market research. Rather, I am proposing that they don’t conduct a survey before having reviewed their current situation in detail. And in particular, the information that is already available inside the organisation.

In many companies, there is far more information available than people realise. Research shows that 68% of data is not used by businesses who invest in it — that’s over two-thirds of data – and budgets – wasted!

To make optimum use of your resources – time, money, and people – my suggestion is to first gather and analyse what is already available. In this way, any research that is conducted will be far more focused, and usually faster and cheaper too!


In my CATSIGHT™ process for actionable insight development, data gathering is the sixth of the seven steps! If you’d like to learn more about it, then do check out my online course on the topic. In under two hours, you will learn how to easily develop insights that can be immediately put into action.


 

Ten Reasons NOT to Run Market Research

One of my cornerstone posts here, which continues to receive hundreds of views every month is “Ten reasons NOT to conduct market research.” In summary, I advise leaders to avoid surveys:

  1. Where the objectives are not well defined, and the issue or opportunity needs further clarification.
  2. Where the cost of running the survey exceeds its value, especially in how the information will be used.
  3. Where the budget is too small to do an adequate job of information gathering. In this case, corners will be cut, either in terms of the depth of the investigation or in the sample size.
  4. Where the time available to run and report on the project is too short. This is often a problem when new products or communication campaigns are being tested, and there is a delay in their delivery for testing.
  5. That could “tip off” the competition by researching the confidential topic. Obviously running projects on ultra-secret development work is ill-advised unless you carefully control who is interviewed.
  6. Where the findings would not be actionable. Hopefully, this can be avoided by having detailed clarification of the objectives of the study.
  7. That are motivated by internal politics, such as to prove a point, rather than by a need for information.
  8. That are designed to measure trends that progress too slowly or too fast and thus will provide insignificant changes.
  9. Where the agency used to gather the information is unreliable or unethical. This may
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In Today’s Competitive Market, AI is the Key to Winning Customer Loyalty

If you haven’t already heard, AI is the key to winning customer loyalty today!

As the digital revolution transforms the business landscape, customers demand more from their interactions with companies.

They expect personalised, seamless experiences across all channels and touchpoints, and they want their needs to be anticipated so they are met both quickly and efficiently.

To address these expectations, businesses realise that AI is the key to helping them deliver exceptional customer experiences that are both personalised and efficient.

So let’s explore how AI can help your organisation improve your customer’s experience and provide some valuable tips for seamlessly integrating AI into your customer-first strategy.

 

AI is the key to customer satisfaction through personalisation

AI can help businesses meet their customers’ expectations by providing personalised recommendations, tailored messaging, and customised experiences.

One way of doing this is through chatbots and virtual assistants. These tools can help businesses provide instant support and assistance to customers 24/7. They can and should be programmed to recognise each individual’s preferences and behaviours.

Chatbots and virtual assistants can also help businesses collect data on customer interactions, which can then be used to improve the accuracy and effectiveness of customised recommendations.

Another way to personalise customer experience is by making use of predictive analytics. By analysing customer data, businesses can identify individual preferences and behaviour patterns. It can then use this information to personalise their products and services further.

For example, a retailer might use predictive analytics to recommend products based on a customer’s past purchases. A bank might use predictive analytics to offer customised financial advice based on a customer’s spending habits.

 

AI is the Key to Customer Loyalty and Efficiency

Efficiency is another critical component of delivering an exceptional customer experience. Customers want their needs to be met quickly and efficiently, and they expect businesses to be responsive and proactive in addressing their concerns. AI can help companies to improve efficiency in several ways, from reducing response times to automating routine tasks.

One way to improve efficiency is through chatbots and virtual assistants. These tools can provide instant support and assistance to customers, reducing response times and freeing human agents to focus on more complex issues. Chatbots and virtual assistants can also be programmed to automate routine tasks, such as scheduling appointments or processing payments, further improving efficiency.

Predictive analytics can again be used to also improve efficiency. By analysing customer data, businesses can anticipate customer needs and proactively offer solutions before a customer even realises they have a problem.

For example, a telecommunications company might use predictive analytics to identify when a customer’s data usage is about to exceed their plan limits and proactively offer them an upgrade to a larger plan. With an attractive incentive to do so, this will result in a win-win for both the business and their customers.

 

Best Practices for Integrating AI into Your CEX Strategy

Integrating AI into your customer experience strategy can be a complex process, but there are some best practices

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Three Clever Ways to Know the Competition Better

What is the secret to success in business? That’s easy! It’s how well you know the competition.

Alright, maybe this is a slightly over-simplified perspective, but it always surprises me how many companies work with a primarily internal focus.

I have written many posts about knowing your customers, such as “Why Customers Are The Answer To All Your Problems (If You Ask the Right Questions).” Watching and listening to them in order to fully understand their rational needs and emotional desires is a great – and free! – way to start.

But today I would like to speak about doing exactly the same thing for your competitors. If you are going to succeed in attracting their customers away from their products and services, then it would make sense to know them as well as you do your own.

Here’s a simple three-step process to do so. 

 

Encourage employees to use competitive products & services

Know the competition better by trying their products and services.In most organisations today, using competitive products is still frowned upon; after all, we make the best don’t we, so why use those of other companies?

However to challenge and beat the competition you have to intimately know what you are up against. Regular contact with competitive products will encourage your employees to evaluate your own offering. They will also be encouraged to suggest competitors’ strengths and weaknesses that were perhaps not evident before. It will also ensure that you are rapidly aware of any improvements made by the competition. You won’t get left behind and find yourself suffering from declining sales due to competitive improvements of which you are unaware.

This intimacy with competitors’ products and customers should be requested of employees at all levels, by being one of their annual objectives. Of course, in some industries this might not be possible, due to the selective nature of the product or service, but certainly for most consumer products and service companies, this can easily be done on a regular basis.

Now encouraging people to use competitive products is easy to say, but you should also be prepared to invest in it, by paying for your employees to experience them. It would be unfair, and would certainly be resented, if your people had to spend their own money to make such experiences. This knowledge gathering should be seen as an investment by your organisation, of at least equal value to offering your employees discounts on your own products and services.

Why don’t you start a similar process and add these experiences to everyone’s annual objectives? It’s a great way, and a free one at that, to know the competition better than you do today.

 

Make a Library of Competitive Products and Material

KNow your competition better by sharing what you knowIn one of my previous positions, the company had an incredible competitive library. This included every single competitive product that was available from all around the world, classified by country and organised by segment.

Everyone found this library extremely useful, especially when discussing such topics as shelf impact, packaging or in … Click to continue reading

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