The ability to analyse data accurately and efficiently is typically why thousands of businesses worldwide use Microsoft Excel.

But with business evolving at a rapid rate, many now realise that simple Excel data analysis isn’t enough to stay competitive. With new technology comes new data analysis possibilities

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How to Sort Data in Excel

We live and work in the age of big data. The ability to summarise and export this data in different ways is one of the most powerful tools in business today. Yet making sense of such a huge volume of information remains a challenge. It’s why efficient and accurate data analysis has never been more valuable.

When it comes to statistical Excel data analysis and data interpretation, quality optimisation affords businesses more options than any other spreadsheet or workbook programme. Not only are these options wide-ranging, they are also incredibly useful when managed correctly and allow users to pull out the information they need within just a few clicks.

With Excel, you can sort your data into intuitive columns, filter the data by specific criteria and easily apply conditional formatting to highlight key areas, values or trends within a spreadsheet; seriously optimising clarity. The ability to create pivot tables, along with forecasting in Excel is one of the most powerful data analysis features of the software, allowing users to aggregate and extract insightful information from a huge data list within seconds. Excel allows presents users with an unparalleled suite of visualisation options, so that large datasets can be transformed into easily digestible charts and graphs, which ensure your data analysis efforts do not go to waste.

Problems with Poor Excel Data Analysis

One common obstacle in the average business’ approach to capitalising on data analysis is that their information is often stored in separate locations, and formatted in a range of different file types. This makes it incredibly difficult for businesses to use key data to fuel the growth of their business.

Without a streamlined programme in place that automates manual processes, there’s also an ongoing risk of human error when maintaining and aggregating data over the course of months and years. No company wishes to inform their key business decisions from analysing incorrect data, particularly if regular reports are being produced and shared as common knowledge within an organisation.

An effective strategic approach to data analysis requires time and investment. Experience is essential to ensuring that dashboards and workbooks are implemented correctly, and tailored to the needs of a specific business.

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Our Process

1

ENQUIRY & INITIAL
QUOTATION

2

FUNCTIONAL
SPECIFICATION

3

FINAL
QUOTATION

4

PROJECT CODING
& TESTING

5

DELIVERY

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Case Studies

Adidas’ European Sized Excel Distribution Tool2019-03-13T20:19:43+01:00
M&S’ POS Forecast Model2019-03-13T20:34:24+01:00
Watts Group’s Tailored Data Amalgamation Tool2019-03-13T20:48:14+01:00

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