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SmartData Collective > Big Data > Data Quality > Use this Strategic Approach to Maximize Your Data’s Value
Big Data

Use this Strategic Approach to Maximize Your Data’s Value

Learn how to activate your data's potential by utilizing a strategic approach.

Ryan Ayers
Last updated: 2023/01/09 at 7:25 PM
Ryan Ayers
6 Min Read
analyzing big data for its quality and value
Shutterstock Licensed Photo - 1814645042 | By Auroracreative Std
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In today’s world, data is more widely available to businesses than ever before. Whether it’s data about customer demographics, product colors that tend to sell better, or which cold email scripts are the most effective, organizations have the power to utilize data to help them inform their decision-making process in a variety of ways.

Contents
What Is AI and Machine Learning?The AI and Machine Learning Approach to Utilizing DataSorting Through Large Data SetsDetecting Patterns That Humans Would MissAccurately Informing Marketing StrategiesAI and Machine Learning Are the Future of Data Analysis

However, while the immense amount of data available to organizations unlocks new possibilities — it can also make cleaning organizing, interpreting, and analyzing data far more difficult and labor-intensive.

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Thankfully, there are ways to take advantage of the modern-day widespread access to data and truly get the most value possible from it. The answer lies in the utilization of AI and machine learning technology to assist with all of the steps associated with using data from collection to analysis.

By strategically taking advantage of these innovative technologies to glean powerful insights from data, organizations can truly maximize the value of the data that they have access to.

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Here is a strategic approach to maximize your data’s value.

What Is AI and Machine Learning?

Before understanding how this particular strategy can help organizations maximize their data’s value, it’s important to have a clear understanding of AI and machine learning. AI (artificial intelligence) software utilizes advanced algorithms and frameworks to allow computers to utilize reason and learn from the data that it comes into contact with.

Machine learning is a particular type of AI-powered software that has the ability to learn from the data it comes into contact with and become more capable of accurately forecasting results and outcomes over time. As one can imagine, these powerful forms of technology give organizations the opportunity to engage in a number of effective business practices in unprecedented ways.

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The AI and Machine Learning Approach to Utilizing Data

As we move deeper into the future, more and more organizations are utilizing AI and machine learning technology to improve their business processes in a number of profound ways. This widescale adoption can be seen in the recent rise in business intelligence and business analyst job positions.

This widescale adoption of AI and machine learning have largely come as a reaction to the overwhelming amount of data that is now available to organizations in almost every industry.

In order to take advantage of everything that data has to offer, organizations must utilize technology that is able to sift through this data efficiently, accurately, and consistently.

In order to have a clearer understanding of the profoundly beneficial effect that AI and machine learning technology can have on a business’s ability to utilize data, it can be helpful to see some key examples.

Here are a few ways in which a strategic approach of utilizing AI and machine learning technology can help organizations maximize their data’s value.

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Sorting Through Large Data Sets

Even if an organization had an entire warehouse full of data analysts, it would be close to impossible for them to sort and glean insights from all of the vast amounts of data that they collect every day.

Today, AI and machine learning software are able to function at extremely high levels and sort through huge data sets in short amounts of time. This is especially valuable for organizations intent on capitalizing on new trends quickly before their competitors.

Detecting Patterns That Humans Would Miss

While trained data analysts are capable of identifying some patterns in data, we as humans are only capable of so much. This is especially true when it comes to bigger sets of data that are more difficult to organize and assess. This is where AI and machine learning software can be a huge asset to organizations looking to identify patterns in data.

This software can pick up on subtle patterns and nuances that can potentially offer organizations extremely useful insights.

Accurately Informing Marketing Strategies

As any business owner or organizational leader understands, effective marketing is a key facet of any successful organization. Unfortunately, this is often easier said than done, and organizations often have to make assumptions and risk having an unsuccessful marketing campaign.

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By utilizing AI and machine learning software, businesses can make more informed decisions when it comes to crafting a powerful marketing campaign. Whether it’s discovering new consumer pain points or determining where a product is likely to make the most sales, AI and machine learning software give organizations the opportunity to use the six P’s of marketing to grow their business more effectively.

AI and Machine Learning Are the Future of Data Analysis

Given the seemingly endless amounts of data becoming available to organizations today, AI and machine learning software are beginning to offer themselves as tools that businesses can use to extract the most value from their data.

From more efficient sorting and analysis to more effective marketing strategies, these innovative technologies are quickly ushering organizational processes into the future.

While these technologies are slowly gaining popularity across industries, it is likely that the use of AI and machine learning software will become a normalized practice in all notable organizations in the coming years.

TAGGED: artificial intelligence, big data, big data strategy, data quality, data sets, machine learning, utilizing big data
Ryan Ayers January 9, 2023
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By Ryan Ayers
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Ryan Ayers has consulted a number of Fortune 500 companies within multiple industries including information technology and big data. After earning his MBA in 2010, Ayers also began working with start-up companies and aspiring entrepreneurs, with a keen focus on data collection and analysis.
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