Category Archive
Prep

Improving Fantasy Football Odds with Monarch

I never was an expert when it came to Fantasy Sports, and always heavily relied on the autodraft feature. Unfortunately, autodraft does not consider that a fantasy team doesn’t need more than 1 kicker and 4 substandard running backs. My teams were never successful…that is until I arrived at Datawatch during the 2016 Company Fantasy Football Draft. I leveraged the autodraft in fantasy sports because I never knew whose “expert” opinion to trust. Since my laptop…

Spotlight on Gartner

After exhibiting at the Gartner Summits in Dallas and London this year, we noticed a shift in what analysts are looking for when it comes to self-service data solutions. Several folks across different industries expressed three common pain points with self-service analytics– limited data access, poor data quality, and time-consuming data preparation tasks. Analysts, managers, and executives from different industries, such as financial services and healthcare, visited our booth and saw Monarch in action,…

Negative Joins are a Positive for Identifying Tax Fraud

Tax fraud and tax evasion cost the government billions of dollars in lost revenue each year. In 2016, Fortune Magazine reported that annual tax evasion averaged $458 billion between 2008-2010. The same article predicted that audit specialists would be able to “recover about $52 billion of that lost revenue, resulting in a net tax gap of $406 billion annually.”[1] Tax fraud can be the result of individuals and businesses underreporting their earnings, or when…

What’s New in Monarch 14.1

Updates for Monarch Complete Datawatch is proud to announce the latest release of Monarch software — Version 14.1 — in our ongoing effort to deliver better usability, more advanced capabilities and stronger performance to Monarch customers. Table Extractor Now automatically find tables on specific pages in large documents, automate table extraction and capture data as separate tables within a single page. Customizable Change Lists Enhancements include the ability to customize and/or reuse change lists for…

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…

The Socialization of Enterprise Data

In a world that has become increasingly dependent on spreading data through socialization – whether it be media, politics, healthcare, entertainment or more – the need for smart businesses to adapt is clear. Commodities, including enterprise data, need to be managed and governed in a way that allows access to the right people at the right time, enabling business to happen at ever increasing speeds. If important information is not available in a timely and…

Next Gen Solution for Self-Service Data Preparation

The next big trend to hit the data analytics market this year is data socialization. According to Forbes, data socialization adds social functionality to a data strategy and is changing the way organizations think about how to share data and how they operate when it comes to making that data available. “Companies are looking for ways to reap the benefits of self-service data solutions,” said Dave Wells, analyst at Eckerson Research. “An online…

FORBES: Is Data Socialization the Next Big Thing in Data Analytics?

Forbes contributor, and big data and analytics expert, Bernard Marr, is weighing in on the next trend in data science with his article Is Data Socialization the Next Big Thing in Data Analytics? Marr recognizes that “adding social functionality to a data strategy” is changing the way organizations both think about how to share data and how they operate when it comes to making that data available. Rightly so, he points out the importance of…

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.

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