 Sometimes it is not enough to see just the top selling products -- what you'd really like is a view of how the various product lines are represented in that elite list. This is a very simple task for nextanalytics, and doesn't involve any complicated or fragile database queries or setups.
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 Sales reports are full of numbers, big and small, but everyone tends to focus on the big numbers because they are easy to find by sorting. It is nice to be able to celebrate the big wins, but what happens when the bulk of your sales are smaller order sizes? How do you know if one channel or salesperson or product line is performing better than another? Tough question, but with nextanalytics, there is an easy solution.
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 A typical reporting requirement in CRM systems like Microsoft Dynamics CRM is to gauge the success of various marketing campaigns. While nextanalytics can easily generate the commonly provided reports, the real value comes from taking the analysis one step farther.
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 Many tools claim to be multi-datasource but they're not as good as this because we allow you to computations, not just show on the same screen.
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 Customer profitability is a typical CRM system metric that executives watch closely over time, looking for trends that require their involvement to correct. Most standard reports simply show the numbers, but nextanalytics allows you to take those few additional steps that let you see farther.
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 A highly desired CRM system report, the customer profitability report brings attention to customer accounts that bring more than normal profits into the business. Executives want to know who they are so actions can be taken to keep those accounts active and try to replicate the success with other accounts.
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 Analysing the distribution of numeric values, such as those found in surveys, demonstrates unique benefits of using NextAnalytics as your processing engine.
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Most CRM applications and sales reporting portals include a historical comparison report, usually year-over-year or simply this period compared to last year. With nextanalytics, that simple report is just the starting point for understanding how your business has changed.
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As interest in fraud detection grows, the use of Benford analysis is growing in the audit community. This technique relies on comparing the distribution of the leftmost digit in a set of numbers to a theoretical distribution. This is something nextanalytics does with ease - no spreadsheet forumlas to copy or break, adapting to new data sets with almost no effort.
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Our open source integration examples includes the ability for nextanalytics to supply data to Google Charts and shows how you can easily build this into a dashboard of your own.
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You don't need to send out multiple reports if the data fits on one page.
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It is very typical to be asked for comparisons of two periods, year-over-year, this quarter to the same quarter last year, this month to last month. The reports are usually all the same as well - current period, previous period, delta (numerical difference) and growth (expressed as a percentage), with the only difference being the row labels and maybe a selection or filtering criteria. With nextanalytics, this type of common report can be reduced to a simple call to run a script from a standard library.
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Make charting and visualization easier and more useful. Use normalization to recognize trends, patterns, and outliers easier. |
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Who are your top performers? What were the best months? What and what were the best overall?
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Here's a set of charts using the Maani pakage. See: http://www.maani.us to learn more about this very good package.
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No metadata or cube building required. Just supply a query or a data file, and the rest is automatic.
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You need to see this to appreciate how much more you can do with your spreadsheet data and query results.
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Compare anything to anything. Really! |
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Can MDX do what nextanalytics does? One of our blogs explored this point. A well known blogger and industry veteran Mosha Pasumansky, accepted the comment as a challenge to demonstrate that MDX could indeed easily produce the sample analytic posed in the blog. Please note, it wasn't actually a very tough analytic, as compared to the other examples we've been walking you through. In any case, the ensuing interaction was enjoyable for everyone who checked in. Mosha wrote a great post in his own blog and was successful in proving that MDX was easily capable of delivering on the sample query. His response can be found verbatim here.
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When dealing with analytics, there are times that a combination of filtering, sorting and calculations are wanted. Because of the limitations and complexity of many business reporting solutions, it has become common practice to extract the data and manually finish the analysis in a spreadsheet like Microsoft Excel. That extra effort is not required with nextanalytics -- it is a simple matter to perform almost any combination of filtering, sorting and common calculations like growth or net change.