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The Excel Conundrum (Part 2): You Don’t Need a Certification in Excel to Master Your Data

In Part 1 we explored the challenges with Excel that lead to wasted time and inaccurate data. The good news is, you no longer have to do the heavy lifting or waste your time manually cleaning up data. You no longer have to deal with the frustration. Self-service data preparation software, like Altair Monarch, delivers an efficient solution to help you get answers from your data quickly. Self-service data preparation software runs on…

Differentiating Machine Learning, Artificial Intelligence, Data Science, Data Mining and Predictive Analytics

You can enter this question in an internet search engine and check what answers you get. Rather than doing that I will answer this question simply by “rewriting” history, so I can say it is “based on a true story”. During the Second World War, Alan Turing and his colleagues at Bletchley Park succeeded in building a machine that used electromechanical components to decipher the communications to and from German submarines operating in the Atlantic.

The Excel Conundrum (Part 1): Why Most People Struggle with Data

When tasked with using data to solve a business problem, many of us struggle to get the answers we need. Far too often, the issue is not that we have shortcomings in our analytical skills, but rather that there are limitations in the tools we have at our disposal, or that these tools have special nuances to learn and we simply don’t have the time to learn them. Do you fall into this category? Here…

Datawatch’s Marketing Survival Guide to Reporting – LinkedIn: Export Organic Analytics

Business-to-business (B2B) marketers often turn to LinkedIn to start conversations, drive word of mouth, and share content — and then run headlong into a common problem: they can’t easily get the results of their organic efforts out of the popular social networking platform.

Data is the Peacekeeper between Sales and Marketing

The struggle can be real between sales and marketing when it comes to seeing eye-to-eye. Priorities can be misaligned or maybe efforts go unrecognized. But one thing that almost no one can agree on is attributing revenue contribution. Whether you use a first, last or multi-touch attribution model, someone often ends up feeling neglected. Marketing feels like they did all the heavy lifting, while sales wants credit for sealing the deal. The truth is somewhere…

Leveraging Data Preparation in Higher Education

Keeping all financial data accurate and up-to-date can be a logistical nightmare for institutions of all sizes; from small liberal arts schools to massive universities that care for tens of thousands of students each year. There are a number of different systems that higher education institutions use for receiving, compiling and making use of information on their prospective and current students. BANNER and Colleague are two of the most popular systems which track information on…

The Rising Demand of Data Prep for Healthcare

Self-service data preparation platforms are in high demand among healthcare organizations seeking to overcome the common hurdles to data access, reconciliation and reporting. According to Grandview Research, the global healthcare analytics market will grow to $42.8 billion by 2024 as organizations look to leverage data for financial applications, operational and administrative purposes. This surge is being driven by the increased use of electronic health records (EHRs) and the digitization of financial records and…

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 Altair 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…