In order to make meaning out of data, it has to be effectively organized, stored and analyzed. That’s why it’s important to know the nature of the data — specifically whether it’s structured or unstructured. Structured data fits into predefined fields and can be organized into a spreadsheet or a relational database, while unstructured data…
Category: Data Strategy
8 Examples of Unstructured Data
The various kinds of data that are generated through a variety of sources at practically every moment are categorized as structured, unstructured or semi-structured. In our previous post, we saw that unstructured data is usually complex and heterogeneous and cannot be mapped to a predefined structure such as a data table or a relational database. …
Structured Data vs. Unstructured Data – What’s The Difference?
Did you know there is more than one type of data? We examine structured vs. unstructured data in our article. Data enables understanding, analysis, and informed decision making – whether in business or government or even for individuals. Traditionally, we’ve always organized and standardized data and mapped it to predefined fields. Mature systems and technologies…
How to Build a Data Culture for the Best ROI
Earlier this year, business management consulting firm NewVantage released a report looking at big data and artificial intelligence. According to the report, while investment in data is at an all time high, some companies aren’t seeing the desired results from their data investments. NewVantage’s annual report includes the results of a survey of more than…
Knowing the Importance of Enterprise Data Management for Small Businesses
Treehouse Technology Group (TTG) accepts articles from contributing authors on topics that we support. TTG believes strongly that small businesses will begin to benefit greatly from enterprise data management systems, which were previously only available to large companies. As such, small business that don’t compete on a data level will soon be beat out by…
How Companies Are Using Their Internal Big Data Analytics
According to a report from Dresner Advisory Services released last year, big data analytics adoption soared in 2018. While 17 percent of enterprises surveyed in 2015 had adopted big data analytics by 2015, 59 percent of companies had embraced it by the end of 2018. The DAS report highlights the importance of big data analytics…
How to Use Internal Data for Brand Storytelling
Enterprise content marketing platform Skyword recently released the results of a study examining the habits of 1000 content marketers. According to the report only 10 percent of content marketers have embraced branded storytelling, despite its proven effectiveness. The report found that among those top-performing content marketers, 52 percent have embraced storytelling. Companies struggle to develop…
4 Sources of Internal Data that Should Inform your Sales Strategy and Help your Sales Process
In our most recent blog post we discussed how a company’s internal data has numerous benefits for the organization. We gave examples of how internal data can help a company’s decision making, marketing strategy, and sales outcomes. In this post, we’ve decided to delve into one of those benefits with greater detail and highlight the…
How to Make Your Company’s Internal Data Work for You
Companies capture data in many ways from many sources. However, one source that may have greater benefits than previously imagined is your company’s internal data. Internal data is information, statistics, and trends that organizations discover through their operations. Companies can identify, learn from and even share sales trends, customer habits, software user trends, operational lessons,…
Why Data Strategy Needs to Include a Robust Data Architecture
Recently, on the Treehouse Technology Group blog we’ve discussed the importance of data strategy. However, an important factor in establishing an effective data strategy is to include a robust data architecture. Let’s begin with defining data architecture. According to the Harvard Business Review, data architecture “describes how data is collected, stored, transformed, distributed and…