Archives:

A New Era in Data Science: Team-driven Predictive Analytics

As data becomes more complex, so does the data and analytics industry. This space is fast-evolving, so solution providers need to quickly and confidently determine the best ways to solve pervasive customer problems. This is a challenge in and of itself. Here at Datawatch, we are constantly enhancing our products to ensure our customers have access to the latest technologies to streamline their workflows and extract the best insights from their data. But we can’t…

Hindsight Isn’t Always 20/20 In Data Analytics

There’s a popular saying that hindsight is 20/20 but it isn’t always true when it comes to analytics.  To understand what really happened during the last month, quarter or year, you need to start with clean and complete datasets, utilizing the domain expertise from across the entire organization. And advancing your data strategy beyond descriptive “Hindsight” analytics to predictive or prescriptive analytics requires even more time, labor and analytic expertise.   For most organizations, this is often easier said than done. …

Don’t be Fooled by Your Data

April Fools has come and gone, but that doesn’t mean you’re in the clear of being tricked- especially when it pertains to your data. Market research has found that only 12% of enterprise data is used to make decisions, meaning that 88% of data is not currently being analyzed. Many organizations are making strategic decisions without a holistic view of their data, because so much of it is trapped in complex files from multiple data…

Data Masking, Simplified

As data volume grows exponentially, businesses are faced with the challenge of scaling their protection of sensitive information to meet government standards and to defend against theft. Data masking has emerged as the leading solution to accomplish this across all industries and verticals. Data masking is the process of creating a new version of an original data set that maintains the data formatting, but generates new data values. Hiding the original data in this allows…

PDF Data Extraction Made Easy

In a world where the amount of data and complexity of sources is rapidly growing and expanding, it is becoming more essential for data to be easily organized for analysis. This process typically includes manually converting data from one raw form into another format to allow for more convenient consumption and organization of the data. This manual process of data extraction, especially from PDF reports, is an arduous task for business users in every industry.

How to Work Smarter, Not Harder in 2017

In our blog post Healthier, Happier Reporting: Part One, we recommended the New Year’s resolution of working smarter, not harder. This may sound easier said than done, but adopting new data preparation habits could save you hours of time and thousands of dollars in 2017. In fact, it’s said that only 20% of an analyst’s time is spent truly analyzing data- which means that an average of $22,000 per year per analyst is wasted.

Practical, Self-service Marketing Analytics, Part 3: Top Five Transformation Tips

Over the last few months we, the Datawatch marketing team, have been eating our own dog food and using Monarch to develop our marketing KPIs and dashboard. As we’ve been transforming our marketing reporting processes, we’ve been documenting our tremendous progress in Part 1 and Part 2 of this blog series. We’re more confident than ever in the data quality of our marketing metrics, and the…

Practical, Self-service Marketing Analytics, Part 2: The Transformation in Action

We did it! We ate our own dogfood. We moved from multiple marketing dashboards with disparate data sources to a single consolidated, visual dashboard that the whole team can utilize. From website sessions to social media, demand generation emails, and Google ad campaigns – we’ve accessed, filtered, formatted, and presented our data. This transformation to self-service marketing analytics has allowed our marketing team to confirm our intuition-based assumptions, discover new insights, and effectively…