Last year was a productive year for Analyse-it, with the addition of survival analysis functions and .
There was also lots of work behind the scenes, making small improvements to keep everything running smoothly. These days software updates are released quickly, and often without warning, which can be problematic for products like Analyse-it that rely on another application like Microsoft Excel. We release updates to Analyse-it to fix problems when they arise, so it’s always good to have to ensure you get those updates.
We also recently released a new healthcare-focused edition of Analyse-it: the . This edition includes statistics for comparing agreement between clinical methods; constructing reference ranges; determining diagnostic accuracy of a screening technique; analyzing and comparing survival times for different treatments, plus statistics for analyzing, visualizing and describing data; comparing groups for differences; advanced regression and modelling techniques; and procedures for looking at correlation and reducing large amounts of data to the key factors.
We’re happy to announce a couple of major additions to the Analyse-it Ultimate edition: Kaplan-Meier survival curves and Cox’s proportional hazards survival model. There are also improvements for users of other editions.
If you have you can download and install the update now, see: or visit the . If maintenance on your license has expired, you can renew it to get this update and forthcoming updates, see . If you already have another edition of Analyse-it, you can upgrade to the Ultimate edition for just the difference in cost, see .
describe and visualize time-to-event data. They are often used in survival and reliability analysis to model time to death or time to failure of a component. You can visualize multiple survival functions, with confidence bands, and test for differences between them. In addition you can describe the key quantities such as the area under the curve or the quantiles.
Example of multiple Kaplan-Meier survival curves:
model time-to-event data (survival/reliability analysis). They do not rely on estimating a survival function, but instead estimate the hazard ratios of covariates. We have added proportional hazards to the Analyse-it Fit Model analysis so you can include multiple categorical/continuous covariates and complex interaction terms. The analysis report include everything you’d expect: parameter estimates and confidence intervals, covariance matrix, likelihood ratio and Wald test of the contribution of each term, hazard ratios for each term, and the baseline survival function and plot.
Recently we’ve been busy updating Analyse-it to stay aligned with the latest updates to the CLSI protocols, and added a new inverse prediction feature.
If you have you can download and install the update now, see or visit the . If maintenance on your license has expired you can renew it to get this update and forthcoming updates, see .
New CLSI EP6-Ed2
The CLSI recently released guideline , which replaces the EP06-A published in 2003.
EP06-A relied on fitting a linear (straight line), 2nd (parabolic) and 3rd (sigmoidal) order polynomials to the data. A method was then determined to be linear or possibly non-linear based on statistical criteria. The degree of nonlinearity was then calculated as the difference between the linear fit and the best fitting non-linear model (parabolic or sigmoidal curves). Nonlinearity could then be compared against allowable nonlinearity criteria.
The new CLSI EP6-Ed2 protocol no longer requires fitting polynomial models to determine linearity. Instead, the deviation from linearity is calculated as the difference between the mean of each level and a linear fit through the data. That can then be compared against the allowable nonlinearity criteria. Other changes to the protocol include experimental design and there is now more focus on the structure of the variance across the measuring interval.
We've been busy making lots of improvements to Analyse-it recently, so we thought we'd highlight the significant new and improved features.
If you have , you can download and install the update now, see . If maintenance on your license has expired, you can renew it to get this update and forthcoming updates, see .
Fit Model now supports Probit regression. Probit regression is similar to logistic regression, as both use a link function to transform a linear model into a nonlinear relationship. A linear model uses the equation Y = α + β x, whereas both logit and probit equation use the form Y = f(α + β x). They only differ in the definition of the link function f(): the logit model uses the cumulative distribution function of the logistic distribution; the probit model uses the cumulative distribution function of the standard normal distribution. Both functions give a predicted probability, Y.
Health sciences, such as epidemiology, often use the logit model as the predictor coefficients are interpretable in terms of log odds-ratios. The probit model coefficients cannot be interpreted as easily but may produce a better fitting model in other scenarios. For example, in method validation, probit regression is used to model the hit rate of a molecular test. You can then use the model to establish a detection limit or determine diagnostic cut-off points from an underlying continuous response. For a guided example, see our blog post
We’ve been busy over the last few months adding
various new features and improvements to Analyse-it.
There are always many
changes behind the scenes, which aren’t really news-worthy, but seek to make
Analyse-it compatible with the latest changes to Microsoft Excel and Windows. Microsoft
have recently embraced a more aggressive continuous-release deployment model
with Office and Excel, and these releases have caused quite a few headaches for
developers, notably with the .
For these reasons we advise you have active maintenance so you get these
updates as they are released – if not we recommend you on your license to get the latest updates and ensure compatibility
with the often fast-paced releases.
Starting with version 5.20 we introduced a
new feature so you can set the scale (minimum, maximum and units) for a
variable that will then be used, where possible, to set the scaling for chart
axes. Normally Analyse-it will choose excellent axis scaling, but sometimes you
know better and want a specific minimum, maximum, or units. Previously you would
have to set the scale manually on the charts output from the analysis, and any
changes would be lost on recalculate. Now you can control the scaling, see
It’s been a long-requested feature, and today we’re happy to announce that Analyse-it version 5.10 now includes the ability to save the dataset filter with an analysis and re-apply it on recalculation.
Analyse-it always allowed you to use Excel auto-filters to quickly limit analysis to just a subset of the data, but until now that filter wasn’t saved. Each time you recalculated the analysis it was based on the currently active filter rather than the filter in-effect when you created the analysis.
This “active filter” method had its uses in exploratory data analysis: you can easily create an analysis, adjust the filter criteria, click Recalculate to see the changes to the analysis, then repeat as necessary to explore the data. But it also had its limitations. For example, if you created two analyses to look at subjects where Age > 20 and Age <= 20, simply clicking Recalculate on those analyses could get you in a mess if you didn’t reset the filter conditions on each analysis before recalculating.
Today marks the 20th birthday of Analyse-it.
It was December 1997 when we shipped the first disks containing Analyse-it to paying customers. In some ways it seems just like yesterday, but in other respects software development and Analyse-it has come so far in those 20-years.
As many of you know Analyse-it wasn’t our first foray into developing statistical software. My co-founder in Analyse-it, Simon Huntington, had previously developed . Astute was the first statistical add-in for Microsoft Excel, initially released in 1992 for Excel 4.0, and released a few months before Microsoft’s Data Analysis Toolpak which appeared in Excel 5.0.
We started developing Analyse-it in 1996. Astute was no longer available and so we started work on developing a replacement. We were just a start-up business, keen to get our first product to market and so worked 16 hour days, 6 days a week, for 18 months to build that first release of Analyse-it.
Software development back then was pretty brutal. It had improved leaps and bounds since the 1980s, when we started developing software, but it was still time-consuming and sheer hard (mental) work. The software development tools were relatively basic and computing power was a fraction of what it is today. We initially developed Analyse-it in C++, the only commercially-viable programming language back then, and although a very flexible programming language it was very easy to produce bug-ridden and hard-to-maintain software. Each addition or change to the software code during development took 5-10 minutes to compile before the software could be run (or tested) to see the results. Not quite as slow as the mainframe era, but in an iterative process such as software development it was still tediously slow. Compilation often failed, due to typos in the source code, which then needed to be corrected and compilation restarted. Finally when we had an executable we could then start debugging and testing it. Windows 95 was the operating system of choice, but wasn’t the most resilient. It was easy to crash Windows resulting in a reboot, reload of the software development tools, and so on. Another 15 minutes gone.
Prediction intervals on Deming regression are a major new feature in the Analyse-it Method Validation Edition version 4.90, just released.
A prediction interval is an interval that has a given probability of including a future observation(s). They are very useful in method validation for testing the commutability of reference materials or processed samples with patient samples. Two CLSI protocols, and both use prediction intervals.
We will illustrate this new feature using an example from CLSI EP14-A3:
1) Open the workbook .
2) On the Analyse-it ribbon tab, in the Statistical Analysis group, click Method Comparison and then click Ordinary Deming regression.
The analysis task pane opens.
3) In the X (Reference / Comparative) drop-down list, select Cholesterol: A.
4) In the Y (Test / New) drop-down list, select Cholesterol: B.
5) On the Analyse-it ribbon tab, in the Method Comparison group, click Restrict to Group.
As we mentioned last week in the , in this release we took the opportunity to revamp the documentation.
The revamp involved rewriting many topics to make the content clearer, adding new task-oriented topics, including refresher topics on common statistical concepts, and improving the indexing and links between topics so you can more easily navigate the help system.
The new task-oriented topics give you step-by-step instructions on completing common tasks. For example you will now find topics on how to , , , and even simple tasks like . We have also fully documented the supported dataset layouts for each type of analysis so you can see how to arrange your data for Analyse-it. The links in each topic help you more easily find related topics, for example links to topics on how to interpret the statistics, links to explain the pros and cons of the available statistical tests, links to topics for common tasks, and a link showing you how to arrange the dataset.
Of all the requests, the most customer-requested improvement is the new . Previously we offered EPUB and Kindle reader editions of the help, but not PDF. To be honest, producing a PDF user guide from the tools we use to write the help was a real technical challenge. The PDF produced just wasn’t good enough for us, and certainly not for our customers – the formatting and layout were poor, indexing was non-existent, and there were so many other niggles. So we took the time to make the user-guide both look good and be usable. Take a look and let us know what you think!
Last week we released version 4.80 of Analyse-it.
The new release includes multi-way , , and in the Standard edition, and since every licence includes the Standard edition, these features are available to all users. We also took the opportunity to revamp the and develop a . We’ll go into more details on the improvements in the next few weeks.
If you have you can download and install the update now, see . If maintenance on your license has expired you can renew it to get this update and forthcoming updates, see .
Today we released version 4.60 of the Analyse-it Method Validation edition.
The new release now includes 3 nested-factor precision analysis, which extends Analyse-it’s support for CLSI EP05-A3 multi-laboratory precision studies.
We are delighted to announce the addition of the Analyse-it Quality Control and Improvement Edition to the range of Analyse-it products.
The new edition includes the most impressive statistical process control (SPC) charts available in any Excel statistical software package, including Shewhart, Levey-Jennings, CUSUM, and EWMA charts. Process capability statistics and plots help you ensure a process is able to meet specifications. And Pareto plots help you identify the quality-related problems that need the most attention and let you monitor efforts to reduce them.
Screenshot: Xbar-R chart of a quality characteristic by phase with stratification.
Screenshot: Process capability plots by phase.
Screenshot: Pareto plot of failures with stratification and sorted by key plot.
The new release is currently available for pre-release beta testing. Anyone can download and test the new release, though you will need an active internet connection to use it as we monitor usage and reliability of the pre-release.
Microsoft officially released a couple of days ago, and Analyse-it version 4.20 now adds support for Excel 2016.
Over the next few weeks we will tweak the Analyse-it user interface so it matches the new Office 2016 user interface styles. Line styles on the plots in Excel 2016 now also appear a lot thicker, due to anti-aliasing (smoothing), so we will decide whether to address that in a future update – let us know what you think.
If you have you can download and install the update now, see . If maintenance on your licence has expired you can renew it to get this update and forthcoming updates, see .
Today we released version 4.0 of the Analyse-it Method Validation edition. This is a major new release with many new features and improvements.
The latest release of the Analyse-it Method Validation edition now supports 10 of the latest CLSI evaluation protocol (EP) guidelines. guidelines are world-renowned and are recognized by the College of American Pathologists (CAP), The Joint Commission, and the US Food and Drug Administration (FDA).
Analyse-it has been a driving force in the adoption of statistics in method validation for over 15 years, has influenced many recommendations, and is the only software available with such extensive coverage for the latest CLSI guidelines.
CLSI guidelines supported in version 4.0 include:
Measurement Systems Analysis (MSA) is a new feature in version 4.0. MSA unifies precision and linearity, which were available in earlier versions of Analyse-it, but also includes trueness (bias) and detection capability so you can establish the limit of blank (LoB) and limit of detection (LoD). The unification of these analyses in MSA lets you dig deep to examine and understand the performance characteristics of a measurement procedure.
Today we released version 3.80 of the Analyse-it Standard edition.
The new release includes Principal Component Analysis (PCA), an extension to the multivariate analysis already available in Analyse-it. It also includes probably the most advanced implementation of biplots available in any commercial package.
New features include:
The tutorial walks you through a guided example looking at how to use correlation and principal component analysis to discover the underlying relationships in data about New York Neighbourhoods. It demonstrates the amazing new features and helps you understand how to use them. You can either follow the tutorial yourself, at your own pace, or .
If you you will no doubt already know about the recent improvements in the Analyse-it Method Validation edition and the release of our first video tutorial. If not, now is a good time to since we post short announcements and feature previews on Facebook, and use the blog only for news about major releases.
The latest changes and improvements to the Analyse-it Method Validation edition include:
Finally, we are delighted to release our first video tutorial. The tutorial is the video equivalent of the tutorial above. It walks and talks you through using Analyse-it to determine the agreement between methods. Sit back and .
We intend to produce more video tutorials in future, so let us know what you think: what you like, dislike, and how we can improve them in future.
Today we released version 3.70 of Analyse-it.
The new version includes many new features which some of you may have read about on our page over the last few weeks:
New features include:
If you have you will be notified an update is available when you next start Analyse-it, or you can download and install the update now, see . If maintenance on your licence has expired now is a good time to renew it to get this update and forthcoming updates, see .
We'll go into more detail on the new features over the next few weeks. In the meantime, to get the latest news, see announcements of forthcoming features, and get handy tips on how to use the myriad of features in Analyse-it.
Probably the greatest concern when using statistical software is reliability. Is the software producing accurate, numerically correct results that have been validated?
It’s a very important question. Many of you work in FDA and regulated environments where the penalties for mistakes are very high. And those of you outside such environments are still making important business and research decisions using Analyse-it. It’s therefore imperative that the software you depend upon is developed to a professional standard, thoroughly tested and validated.
Today we are publishing details of the software development and validation process we use at Analyse-it, see:
For those of you working in regulated environments the document is essential to justify the use of off-the-shelf, third-party software.
For everyone else it explains exactly how Analyse-it is developed, tested and validated. You can use it as a checklist against which to judge the quality of alternatives. But be wary. Professional software development is complex and developing numerical software more so. We have over 25-years software development experience (each developer, not aggregate), and over 20-years developing statistical software.
We have just released version 3.60 of the Analyse-it Standard edition. It now includes repeat-measures ANOVA and Friedman tests in the Compare Pairs analysis.
If you have active maintenance, Analyse-it will notify you an update is available in the next few days, or you can download it immediately at:
If you do not have active maintenance, now is a great time to extend maintenance to get this latest update and all updates for the next 1- or 3-years, see:
Today we released the Analyse-it Method Validation edition version 3.5. The software is feature complete, validated, and includes documentation. It supports Excel 2007, Excel 2010 (32- and 64-bit) and Excel 2013 (32- and 64-bit).
We took this opportunity to rename the product from the Analyse-it Method Evaluation edition to the Method Validation edition. The product is the same, but the new name better reflects the intended purpose of the product.
Diagnostic performance / ROC
Binary diagnostic tests
For more information about the new version, and to download a free 30-day trial, see:
Pricing for the Analyse-it Method Validation edition starts at US$ 699 for a 1-user perpetual licence. If you already have a licence you may qualify for a free upgrade, if you have active maintenance, otherwise you can extend maintenance to get the upgrade (and all updates for 1- or 3-years) free of charge. To see if you qualify for a free upgrade, otherwise get a quote to extend maintenance, see:
Today we released the first public beta test version of the Analyse-it Method Evaluation edition, version 3.5. The software is feature complete and is validated – it is now only missing documentation.
We invite everyone to download the beta and try the new version of the software before it is finally released in September. You will need Excel 2007, 2010, or 2013 (32-bit and 64-bit versions are supported) and it can be installed and used alongside older versions of Analyse-it so it won't interrupt your day-to-day work.
To download the beta version:
To activate the software use the product key:
The software will be publically released at the end of September 2013.
If you purchased a licence in the last 12 months, the 12 months of maintenance included means you will qualify for a free upgrade to the new version.
If you are outside the 12 month free upgrade period you can purchase 12 months of maintenance, to get the upgrade (and all updates in the following year), for 20% of the cost of your licence. For example, if you have a 1-user licence then the upgrade will cost 20% of the cost of a 1-user licence. Similarly if you have a 3-user licence the upgrade cost would be 20% of the cost of a 3-user licence.
Today we released the 3rd alpha release of the Analyse-it Method Evaluation Edition 3.5. Alpha releases are versions of the software that are still in active development, but are released to small group of customers so we can identify and fix any problems before the public beta release.
This release now completes the package with method comparison, which includes Deming regression, Passing-Bablok regression, and Bland-Altman difference plots. Linearity, precision analysis, diagnostic performance (ROC analysis and binary test performance) and reference intervals were already included in earlier alpha releases.
If you would like to take part in this and subsequent test phases reply to this post or . The test releases will run alongside any existing version of Analyse-it, so your day-to-day work won't be interrupted or affected. And those who help during testing will receive a discount on the upgrade (a free upgrade for those who contribute the most) when the product is released later this year.
Today we released the 2nd alpha of the Analyse-it Method Evaluation Edition 3.5.
Alpha releases are pre-release versions of the software that are still in active development. We release them to a small group of customers so we can get feedback and quickly identify and fix any problems before the public beta release. If you want to take part in the test phase reply or comment on to this post or . You can use pre-release versions of Analyse-it alongside your
existing version of Analyse-it, so it won't disrupt your work. And, if you help during in the test phases you will get a discount on the upgrade (a free upgrade for those who contribute the most) when the product is released later this year.
This latest alpha release includes linearity and precision analysis, plus diagnostic test performance (ROC analysis and binary test performance) and reference intervals from the 1st alpha.
Some of the new features included so far are:
We are now starting to release test previews of a major update to the Analyse-it Method Evaluation edition. The new release will include many new features (we'll reveal more in the coming weeks) and will support 32- and 64-bit versions of Excel 2007, 2010, and 2013.
During the initial test phases we release development versions of the application to a small group of customers to ensure it installs and runs as expected on a wide range of PCs and configurations. The official beta test phase stage then follows where more customers are invited to download and use the software, while we iron-out the final few bugs before the official release. The official release is planned for summer 2013.
If you want to take part in the test phase, reply to this post or and let us know what aspects of Analyse-it you use:
Analytical Linearity, Precision, Accuracy,
Diagnostic performance (ROC, binary test performance),
Yesterday we improved the help in the and added a statistical reference guide. The guide tells you about the statistical procedures in Analyse-it, with help on using and understanding the plots and statistics. It’s a work in progress, and we intend to improve it further with your comments and feedback, but it’s important to understand the role of the guide.
Firstly, the guide is not intended to be a statistics textbook. While it covers key concepts in statistical analysis, it is no substitute for learning statistics from a good teacher or textbook.
Secondly, the guide does not include the mathematical formulas behind the statistics. While an understanding of the mathematics is useful, it is better to understand the practical application of statistics: when and where they can be used, and how to interpret the results. Software makes it unnecessary to know the exact formulas, and often the exact mathematics used in software differ from those in textbooks since optimised routines are used to ensure good performance and numerical precision.
Leeds, England (PRWEB) October 03, 2012 -- Analyse-it Software, Ltd. today announced a major new release of their popular , Analyse-it®. With support for Excel 2007, 2010 and the forthcoming Excel 2013, Analyse-it transforms Microsoft Excel into a cost-effective powerful statistical analysis and data visualization package. Statistics and plots are included for exploring and describing data, estimating parameters, testing hypotheses, uncovering relationships and fitting models.
"We’ve made major improvements to in Analyse-it 3.0", said Simon Huntington, Director of Statistical Products at Analyse-it. "The improvements make Analyse-it a serious rival to larger statistical packages costing up to 5 times the price. Unlike the alternatives though, Analyse-it lets you perform all your statistical analysis without having to leave, or export your data, from Microsoft Excel."
Amongst the hundreds of improvements, model fitting and regression analysis have been improved to support simple models such as linear, logarithmic, exponential and power regression and advanced models such as and . Relationships between variables can be visualized using the and partial residual leverage plots show the effect of each term when building the model. Residual plots, distribution plots, lag plots, and sequence plots are also included for checking model assumptions. And an influence plot helps to quickly identify outliers and influential points, based on Studentized residuals and Cook’s D.
Today we pushed the release candidate of the Analyse-it Standard Edition v3.0 for Microsoft Excel 2007 & 2010, our statistical analysis software for Microsoft Excel.
The release candidate is feature complete and is intended to be the final, almost public release of the software.
The software is now validated against our library of thousands of tests to ensure the statistics and plots are accurate and correct. You can now use the software in your day to day work and, like previous versions, it can be used alongside your current version of Analyse-it until you become more comfortable with it.
The release candidate also includes a user-guide and five tutorials to guide you through using the software by example. We recommend you complete the tutorials first as they help you quickly understand how to use Analyse-it 3.0 and demonstrate many of the types of statistical analysis included. The send feedback feature is available from the help toolbar so you can easily send your suggestions on how we can improve the help.
We’re pleased to release the final beta of the Analyse-it Standard Edition, v3.0. The beta is now publicly open to anyone as we iron out any final issues and conduct final testing before release.
To download the beta, please visit:
Screenshot: Analyse-it fit model analysis includes an influence plot to identify points with a substantial effect on the fitted model.
Many of you have asked what statistical tests and plots are included in the new release. The full specification is shown below. In coming weeks we'll announce pricing, upgrade pricing, and award free licences to the beta testers who contributed most time and effort.
Mean, Median, Variance, SD, Skewness, Kurtosis
Quantiles / Percentiles
Frequency distribution table
Correlation coefficients – r, rs, tau
Mean error bar plot
Today we released the first public beta of
Analyse-it Standard Edition, v3.0.
Maybe we're biased, but it is an amazing product! It's been a heck of a lot of work, but the range
of statistical tests and plots in Analyse-it v3 rival what the expensive, established statistical packages provide. In fact, in many cases we’ve surpassed what
they offer. And the statistical plots go beyond what's available in any
other Excel add-in.
The beta-test programme is open to everyone. Even if you don't currently use Analyse-it you are welcome to join. If you do use Analyse-it the beta will run alongside any existing version, so your day-to-day work won't be interrupted or affected.
To join, drop an e-mail to and . We will then send you a link with instructions on how to download, install and start using the software. As a reward for your time, all Google+ beta-test followers will get a
discount on the upgrade when Analyse-it v3.0 is launched.
In the coming weeks we will reveal more about Analyse-it v3.0, including upgrade and new licence pricing. If you are currently considering whether to buy a licence for Analyse-it v2.0, don’t hesitate – you’ll get the upgrade to version 3.0 free of charge and avoid the price increase.
If you follow us on you will have seen that we released a new version of the Analyse-it Standard Edition, v3.0, to testing this week.
During the initial test phases we release development versions of the application to a small group of customers to ensure it installs and runs as expected on a wide range of PCs and configurations. The official beta test phase stage then follows where more customers are invited to download and use the software, while we iron-out the final few bugs before the official release. The official release is planned for early 2012.
Screenshot: Analyse-it v3 scatter matrix with histograms and density ellipses
In coming months we’ll reveal more about the many new features, statistics & plots in Analyse-it Standard Edition 3 (see image above). Pricing and upgrade costs will also be announced, though many, including anyone buying a licence today, will receive the upgrade free.
To join, get involved, and start testing early releases of Analyse-it 3 e-mail . The only commitment is you need to use the application for a few hours over the coming weeks and will need either Excel 2007 or Excel 2010 (on any version of Windows). You can use the test version alongside your current Analyse-it so it will not disrupt your day-to-day work.
It's been a few months since we released Analyse-it 2.22, which added compatibility with, what was then, the Excel 2010 release candidate. Now it seems many are upgrading from Excel 2003 and are contacting us to ask whether Analyse-it is compatible. It is!
Interestingly, starting with Office 2010, Microsoft is providing 32- and 64-bit versions of Microsoft Excel. Until now Excel has been a 32-bit application only (going back to Excel 5 which was a 16-bit application). natively supports the 64-bit microprocessors becoming more common in desktop PCs and allows you to work with truly enormous quantities of data.
Unfortunately most Excel add-ins, such as Analyse-it, are 32-bit applications and are not compatible with the 64-bit versions. It will take sometime until add-ins like Analyse-it natively support 64-bit – it has taken Microsoft many years to take the first step. For this reason, Microsoft recommends you only choose to install Excel 64-bit if you really need it. And 99.99% of users don’t. Excel 32-bit supports over 1million rows by over 65,000 columns and up to 2GB workbooks – that’s a lot of information!
Yesterday Microsoft launched . It’s the next version of Windows, following on from Windows Vista, Windows XP, and Windows 2000.
As a software vendor we had early access to Windows 7 and have been using it daily for approximately 6-8 months. Our impressions are Windows 7 is very reliable, stable, much faster than Vista, and is an upgrade we wouldn’t hesitate to recommend.
Under the hood, dramatic improvements have been made. Start-up time is reduced so Windows 7 is ready to use from cold-start or hibernation far more quickly than Vista and even XP. In normal use it also feels much faster and more responsive.
Usability is improved significantly, with many slick user interface improvements especially for managing applications on the task bar. Many users will be relieved to know that the learning curve is shallow though – the user-interface isn’t such a departure from Windows Vista that you’ll be less productive for the days after upgrading.
Today we released the latest update to Analyse-it, version 2.20, which includes some minor fixes and major improvements. The major improvements affect users of Excel 2007, though we recommend all users download this update for the minor fixes included.
Late last week Microsoft started to release Microsoft Office 2007 Service Pack 2, and made it publicly available on Tuesday this week. Service Pack 2 includes many improvements, including some worthy performance improvements for users of Microsoft Outlook.
Unfortunately, the changes made to Excel 2007 caused Analyse-it 2.14 (and earlier) to sometimes crash when you clicked Refresh or Collate on the Report toolbar. Analyse-it 2.20 fixes the problem, working around the bug introduced in Excel 2007 Service Pack 2.
If you want to download Microsoft Office 2007 Service Pack 2, you can or install it automatically using .
We've also taken the opportunity in this release to add support for large Excel 2007 worksheets. Before Excel 2007 a worksheet was limited to 65,536 rows and 256 columns. Excel 2007 expands this so you can now have a worksheet as large as 1,048,576 rows and 16,384 columns.
Last Friday we released the latest update to Analyse-it, version 2.12 -- a minor update, providing fixes to minor issues recently reported by customers. The update is available free.
If you're using , and not experiencing any of the issues fixed (see the ), then you can skip the the update if you wish. But if you're using an earlier version of Analyse-it, version 2.10 or earlier, we recommend you get the update.
If you’re unsure which version of Analyse-it you’re using, see our FAQ: .
Analyse-it automatically checks for updates every 15 days on start-up, and will tell you if an update is available to download. Firewalls can get in the way though, so if you haven’t got a notification yet, or want to download 2.12 right away, you can download at:
When you’ve downloaded the update simply install over your existing version of Analyse-it. There’s no need to uninstall the old version and you won’t need your product key to reactivate Analyse-it -- unless you’re upgrading from Analyse-it version 1.xx in which case you’ll need to to activate Analyse-it 2.12.
Last Friday we released the latest update to Analyse-it, version 2.11. It’s a minor update providing minor fixes to issues recently reported by customers.
The update is available free to everyone, including users still using Analyse-it version 1.
In fact if you’re still using Analyse-it version 1 you should get the update right away. You’ll be impressed with the improvements to both the application and help, and if you’re using Excel 2007 you’ll love the slick Analyse-it RibbonBar .
Analyse-it automatically checks for updates every 15 days on start-up, and will tell you if an update is available to download. Firewalls can get in the way though, so if you haven’t got a notification yet, or want to download 2.11 right away, you can download at:
When you’ve downloaded the update simply install over your existing version of Analyse-it. There’s no need to uninstall the old version and you won’t need your product key to reactivate Analyse-it -- unless you’re upgrading from Analyse-it version in which case you’ll need to to activate Analyse-it 2.11.