CAFM & IT
INTUITIVE PARTNERSHIP PUTS DATA IN YOUR HANDS
Increasingly sophisticated FM applications have stimulated demand for intelligent data analysis, but this can create bottle necks as the experts drill down into the figures. Paul Durant, Strategic Project Manager at FSI FM, reports on a partnership that will provide integrated data analysis.
Today’s CAFM software can collect data on almost every measurable conceivable. But extracting it into formats that enable end users to make strategic business decisions has, until now, been a specialist skill, due to the scale of the data and the complex relationships within it. For example, a portfolio of buildings will be maintained in a single database table but will be referenced by many different functional areas, such as helpdesk tasks, assets, room bookings, quotes, projects etc., all of which
28 | TOMORROW’S FM
will have database tables and relationships of their own.
“THE FIRST STEP WAS TO
REMOVE THE REQUIREMENT TO TRANSLATE NON-
INTUITIVE DATABASE TABLE AND FIELD NAMES.”
Extrapolating the relevant information from the complex relationships has, until now, required the expertise of a system administrator or an SQL expert.
And this is where the potential for bottlenecks arises, as the appetite for intelligent data reporting swells.
DATA SIMPLIFICATION New problems require new ways of
thinking, so we’ve teamed up with Intuitive BI to create an innovative solution to put all this data at the fingertips of end users. A best- of-breed specialist data analysis software provider, Intuitive have an established product that can be used as a framework for extracting, analysing and visualising data from
twitter.com/TomorrowsFM
Page 1 |
Page 2 |
Page 3 |
Page 4 |
Page 5 |
Page 6 |
Page 7 |
Page 8 |
Page 9 |
Page 10 |
Page 11 |
Page 12 |
Page 13 |
Page 14 |
Page 15 |
Page 16 |
Page 17 |
Page 18 |
Page 19 |
Page 20 |
Page 21 |
Page 22 |
Page 23 |
Page 24 |
Page 25 |
Page 26 |
Page 27 |
Page 28 |
Page 29 |
Page 30 |
Page 31 |
Page 32 |
Page 33 |
Page 34 |
Page 35 |
Page 36 |
Page 37 |
Page 38 |
Page 39 |
Page 40 |
Page 41 |
Page 42 |
Page 43 |
Page 44 |
Page 45 |
Page 46 |
Page 47 |
Page 48 |
Page 49 |
Page 50 |
Page 51 |
Page 52 |
Page 53 |
Page 54 |
Page 55 |
Page 56 |
Page 57 |
Page 58 |
Page 59 |
Page 60 |
Page 61 |
Page 62 |
Page 63 |
Page 64 |
Page 65 |
Page 66 |
Page 67 |
Page 68 |
Page 69 |
Page 70