A convergence of events – including the global pandemic, a shift to remote work, and increased use of the cloud – has accelerated companies’ digital transformations over the past few years and resulted in an ever-growing labyrinth of hybrid networks and endpoints. Digital transformations may have allowed companies to keep up – to a point […]
What Is a Data Management Platform?
A Data Management platform (DMP) is a tool where all your data can be collated and stored. Given the vast amounts of data we generate these days, it has become a much-needed business requirement. Data Management platforms collate all your marketing, audience, and competitor data so that data analysis teams always have a reference point in place. […]
Data Science 101
Data Science is an interdisciplinary field that allows businesses to study and analyze large volumes of data and derive meaningful information from it. It combines elements of artificial intelligence, machine learning (ML), and knowledge engineering to uncover insights from data. Data Science uses ML techniques such as supervised learning, unsupervised learning, deep learning, and reinforcement learning […]
How Can Natural Language Processing (NLP) Help My Business?
Research reveals that the global natural language processing (NLP) market size is projected to grow by $33 billion within the next five years, an annual growth rate of 25%. The use of natural language processing for search capability is ubiquitous – from the Google-type “ask a question and get an answer” environment consumers love to the augmented […]
Developing a Strategy to Democratize Data
The goal of building a strategy to democratize data is to allow all appropriate staff to access the organization’s data, regardless of their technical skills or job description. Previously, a researcher would have to submit a request to the IT department for the information they needed. For example, if a production manager wanted a mid-month […]
Seven Essential Data Management Skills
As businesses continue to promote a culture of data democratization, effective strategies for managing data migrations and ensuring secure data access are gathering steam. IDC predicts that advanced Data Management skills will be necessary for up to 50% of everyday business operations in both large enterprises and small organizations this year. Data centers are becoming increasingly important for […]
How Descriptive Analytics Leverages Data for Better Decisions
Organizations are recognizing that data can be a powerful business asset, and are investing in data analytics to provide this valuable tool. According to research, more than 95% of all organizations today incorporate data initiatives into their business strategies. However, most businesses falter when it comes to effective and efficient uses of data. Descriptive analytics, the most […]
Companies Must Develop New Data Muscles to Pivot to Profitable Growth
As the economic environment becomes more somber, companies are focusing on achieving profitable growth and not just growth. Data-driven decisions can accelerate this goal, but organizations must develop new data muscles to get them there. The last few months have been a whirlwind for the business world: slowing growth, bleaker capital markets, layoffs, the possibility […]
The Impact of Poor Data Quality (and How to Fix It)
The dangers of poor data quality can cause significant damage to a business. Poor-quality data can lead to poor customer relations, inaccurate analytics, and bad decisions, harming business performance. The sources of poor data quality may seem like a small issue, but it can easily become magnified as repeat errors and different types of errors […]
Why Data Analysts End Up Playing Data Detective
Many data analysts are getting a raw deal. For all the optimism around cloud-based systems promising to make Data Management easier, analysts often wind up playing detective – battling through huge information stores on the hunt for useful data, instead of running analysis. For companies, the disillusionment driven by lumbering valuable (and rare) specialists with manual processing […]