Kennected

What Is Data In Business?

Table of Contents

The data associated with a business includes sales data, customer contact information, and even statistics about website traffic.

Without all that data, how do you know who your customers are? Without data, how do you know if consumers like your products or if your marketing efforts are effective?

Without data, how do you know how much money you are making or spending? Data is key to understanding your customers and market.

Any information your employees save for use in marketing, operations, human resources, or sales planning could technically be deemed business data.

Even marketing data, which is crucial for making proper advertising decisions, is vital for the bigger business data picture.

Data helps companies predict trends, identify opportunities and stay ahead of their competition by providing them with insights into consumer behavior or market conditions before they happen.

Most successful business leaders and leads have always relied on some type or form of data to help them make quick, wise decisions.

In a modern business environment, virtually every piece of software collects data.

These include accounting software, customer relationship management (CRM) software, point of sale software, credit card processing software, etc.

Especially for SMBs, a BI solution designed for them is the best way to access and interpret consumer data so you can leverage it for higher sales.

Today, running your business with the help of data is table stakes.

If you’re not using data to uncover insights that will guide your business into the future, you will become a business of the past.

Fortunately, the advances in data processing and visualization make growing your business with data easier than ever.

How Do Businesses Collect Data?

Many businesses collect data for multifold purposes. Here’s how to know what they’re doing with your data and whether it is secure.

One of the most common reasons enterprises values data is because it helps them gain a competitive advantage over their competitors.

As technologies that capture and analyze data increase, so do businesses’ abilities to contextualize data and draw new insights from it.

The importance of data cannot be understated as it provides the basis for reporting the information required in business operations.

Even small startups generate data.

Any business with a website, a social media presence, and accepts electronic payments is collecting data about customers, user habits, web traffic, demographics, and more.

One example is location-based advertising, which utilizes tracking technologies such as an internet-connected device’s IP address (and the other devices it interacts with – your laptop may interact with your mobile device and vice versa) to build a personalized data profile.

Businesses often collect as much data as possible on their operations to use that data to help streamline operations and learn more about customer needs so they can better serve their audience.

Be it websites, internal management systems, or analytical systems, we look to capture business processes and systematize them to leverage your existing resources.

As part of this process, we can look to harness real-time data to provide dashboards and summaries presenting information about key aspects of the business.

Collecting business data can mean polling customers, using analytical software, or simply observing information.

Business data can help form the backbone of an organization’s customer service efforts and help a business learn more about customer desires, complaints, and business operations.

Knowing about data in business can help you understand how modern companies use it for success.

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Using Artificial Intelligence

Artificial intelligence is a critical tool for data capture, analysis, and collection of information that many businesses use for various purposes, including a better understanding of day-to-day operations, making more informed business decisions, and learning about their customers.

Why Is Business Data Important?

Business data is an integral part of growing your enterprise.

After all, this is the information your organization uses to make executive decisions, streamline marketing campaigns, and develop winning ideas that increase overall growth.

Data provides opportunities in every aspect of the business, so you must find ways to improve operations by changing how you do things.

Marketing departments focus on market segmentation data to find consumers who are ready to buy, speeding up the sale-closing process whenever possible.

Business executives must examine bigger trends in the market, such as changes in the pricing of resources, shipping, or manufacturing.

Other companies like Netflix use big data to inform creative decisions in the production of new shows.

In brief,  the more data you have available, the better because it increases efficiency and improves outreach efforts which will help grow your customer base.

It takes more than one person or department – it takes a united front to transform your company into truly data-driven for the benefit of everyone involved.

By using data effectively, a company can streamline getting a product made and putting it in the hands of the customer.

Without knowing this information, you would continue to send more leads to the lower-performing sales rep and lose more money from unclosed deals.

The cost savings from not doing shotgun advertising or paying too much for resources can significantly affect a company’s bottom line profits.

Effective Data Use For Business Operations

Data can help optimize non-managed areas, such as supply chain management or logistics planning, which directly impact your profits.

It can also help you streamline your operations and reduce the time you spend doing certain tasks.

It can help minimize human error when something goes wrong, such as a production problem that results in loss of sales opportunities or damages your reputation.

It isn’t enough to have the data. Great business leaders use data effectively to make smarter decisions. Assume that a cell phone manufacturer uses components made in China.

If tariffs are put on that line of components, that phone costs will rise.

It is important to understand the effects of that data and what it does to the business owner’s profit margin.

Closing The Gap

A financial executive may want to see what the data says about the bottom line. A marketing manager may want to see which marketing campaigns worked and which ones failed and why.

The gap between data analysis and decision-making requires sharing insights in the decision-maker’s preferred language.

The data should also be easily accessible via a dashboard where leaders can revisit it.

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Data Management

In addition, data management should serve to standardize data to make it practical for business purposes.

A data management strategy must incorporate multiple goals, including the ability to audit business operations, monitor progress toward organizational goals, and gain insight into what is working and what is not.

Not every software platform will collect data in the same way, or even collect the same types of data. Data management serves to unify these data silos, so they become useful when combined.

Turning Data Into Cash Flow

Data may also help a company increase its revenue and profits by making the company more efficient, providing key insights into operations and customer satisfaction, and helping to improve certain processes.

Companies that capture data stand to profit from it. Data brokers, or service providers that buy and sell information on customers, have risen as a new industry alongside big data.

For businesses that capture large amounts of data, collecting information and then selling it represent opportunities for new revenue streams.

For advertisers, having this information available for purchase is immensely valuable, so the demand for more and more data is ever increasing.

Increasing Customers

Business leaders in data-driven organizations understand the benefits of relying on data insights to make wise business moves.

As MicroStrategy reports, based on a McKinsey Global Institute study, data-driven businesses are 20+ times more likely to acquire new customers and six times more likely to keep them.

Those leaders, however, must be able to rely on knowledgeable data professionals and technology tools that can uncover the value in the data.

Why Is Customer Information Important?

And this is the key importance of information – it allows a business to make informed decisions by presenting data in a way that management can interpret.

In this context, information would be useful in providing metrics surrounding client/customer engagement to determine better ways to engage or work with your clients.

However, we must state that the value of information lies in the information itself and the actions that arise from the information.

Solve Problems Faster With Data Analytics

If your business has a website, a social media presence, or makes payments, you are generating data! Lots of it.

And all of that data is filled with immense insights about your company’s potential and how to improve your business.

Data Integration For Marketing Campaigns

Tools like Azure Data Factory, Logic Apps, and Functions offer user-friendly interfaces for centralizing disparate data sources, which can yield new insights.

For example, data from accounting software and a CRM might seem separate and unrelated until organized together.

Taken together, though, the data from these disparate systems might help paint a complete picture of business cash flow and revenue.

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What Is Customer Data?

Customer data are the metrics that relate to customer interaction. It can be the number of jobs, the number of inquiries, the income received, the expenses incurred, etc.

To know about our interactions with the customer, we need data.

Data sources can collect customer data in three ways: by directly asking customers, indirectly tracking customers, and appending other customer data sources to your own.

Some companies have built an entire business model around consumer data, whether companies sell personal information to a third party or create targeted ads.

Customer data is big business.

Engagement Data

This type of data details how consumers interact with a business’s website, mobile apps, text messages, social media pages, emails, paid ads, and customer service routes.

Behavioral Data

This category includes transactional details such as purchase histories, product usage information (e.g., repeated actions), and qualitative data (e.g., mouse movement information).

Consumer Data

Consumer data is any information that a company collects from consumers or its customers.

This can include data on customer engagement with company contact, customer purchases, or personal customer data for the company database.

Some businesses even use consumer data to secure more sensitive information.

For example, banking institutions sometimes use voice recognition data to authorize users to access their financial information or protect them from fraudulent attempts to steal their information.

For many companies, consumer data offers a way to understand better and meet their customers’ demands.

By analyzing customer behavior and vast troves of reviews and feedback, companies can nimbly modify their digital presence, goods, or services to suit the current marketplace better.

Product Data

Product data is any information that a company collects about its products. This can include sales numbers, popularity, the efficacy of its products, or manufacturing costs.

Marketing Data

Marketing data is information the company collects for marketing purposes or its marketing processes.

\Marketing data can include customer or website analytics, market research data, competitor research data, or advertisement analytics.

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Data Analytics Are Always Improving

Computers, however, sifting through this data more quickly and efficiently than humans, and they can operate 24/7/365 without taking a break.

As machine learning algorithms and other forms of AI increase and improve, data analytics becomes an even more powerful field for breaking down the sea of data into manageable tidbits of actionable insights.

Some AI programs will flag anomalies or offer recommendations to decision-makers within an organization based on the contextualized data.

Better Customer Service

Understanding the customer at a deeper level and using that knowledge to create effective campaigns has become increasingly useful.

Customer service remains an integral part of any business strategy. Data helps companies deliver exceptional services which ensure your customers remain happy!

Customer data plays a big role in streamlining operations across all business areas.

Every department can benefit from knowing what customers say about their products and services.

The Importance of Data Security

As any cybersecurity professional will tell you, the threat landscape is constantly changing, and malicious actors are becoming more sophisticated in the way they infiltrate systems.

Small businesses are prime targets, because hackers know they are typically less protected than large enterprises.

As a result, small business owners must regularly revisit their security policies and revise them to meet the threats of the day.

Data vs. Information

An important distinction to make is the difference between data and information.

Data is the raw facts and statistics, whereas information is data that is accurate and timely; specific and organized for a purpose; presented within a context that gives it meaning and relevance.

Hop-On The Kennected Train

According to HubSpot, 61% of companies name their top marketing challenge is generating traffic and leads.

If you’re part of that 61%, keep reading because what you’re about to discover could be a game-changer for you and your business (like it has for thousands of people before you).

So many business owners & sales professionals that come to us are struggling to get ahead because they’re stuck relying on referrals, lead lists, or manual prospecting.

This is taking up too much of their time and isn’t creating the consistent income they’re looking for to fund the lifestyle they want for themselves and their families.

Four years ago, the founders of Kennected had the same struggles. They found that lead generation was way too complicated, expensive, and time-consuming, knowing there had to be a better way.

So they developed a new way of getting qualified leads that turn into new customers on the #1 platform for B2B lead generation… LinkedIn.

In the four years since we developed this lead gen strategy, we’ve earned a spot on the Inc. 5,000 list of Fastest Growing Companies in America.

And more importantly, it helped over 17,000 businesses get new leads and sales for THEIR businesses.

Want to see how it works?

Click here to see how you can use Kennected to fill your sales pipeline with qualified leads in less than 10 minutes per day.

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