It might be an open door, but organizational success doesn’t happen by just implementing an automation tool. Instead it’s excellent leadership that makes the difference. The difference in retaining your key people, the difference in your business' performance, the difference in being a true innovator, the difference in cost of stress related sickness absence.
A month ago I read a posting on the Leadership Blog that poor leadership is costing UK business a whopping £6+ Billion per year. This was based on a study commissioned by Ros Taylor Ltd, a leading firm of Chartered Psychologists. They asked over 1500 people from different sized organisations throughout the UK about leadership in the work place. Their key findings in numbers:
Only 8% of people think their boss is inspirational. On the other hand 89% said their boss lacks innovation and 77% feels that their boss was not interested in them (!). Furthermore, 9 out of 10 people said their boss does nothing about poor performers and 79 percent claim their boss does not set clear objectives.
I particularly liked the following quote: “While companies are spending millions on automation and the new IT architectures they could be spending thousands and saving millions by sharpening up their leadership assets.”
So business leaders apparently fail across the board at setting clear objectives, motivating staff and weeding out poor performers. An excellent book on the topic of motivating staff is First, Break All the Rules: What the World's Greatest Managers Do Differently by Marcus Buckingham & Curt Coffman. Need a quick refresher on First, Break All the Rules?
Setting clear objectives and weeding out poor performers is were BI can offer assistance with measurable targets, tracking KPI's, etc. OK, there is indeed only so much Operational BI as a tool can do. However Operational Business Intelligence IS able to give some excellent real-time analytical support to the inspirational captains of our industries AND their staff. Also freeing up time for regular 1-on-1’s, creative brainstorm sessions, and of course plain old fun.
19 February 2007
17 January 2007
Loosing a quarter of your time?
A recent Accenture study revealed: Middle managers spend more than a quarter of their time searching for information necessary to their jobs. And when they do find it, it is often wrong!
This is completely in line with a report from the Butler Group already discussed in a previous post The business value of Operational Intelligence. They also concluded a typical 'knowledge worker' spends 2 hours a day searching for information. So things are in line here...
Pfff... Isn't this shocking when you think of this? Especially considering the over a trillion dollars spent each year globally on IT, aimed at improving efficiency, saving costs, enabling growth, etc. So what about now really enabling your staff to concentrate on what they do best and helping them to navigate this rapidly expanding sea of information?
Now Accenture furthermore also mentions:
So how's this then for a value proposition?
Operational Intelligence: helping you save valuable time and free up the hours currently wasted every day by tracking down relevant information for your job.
This is completely in line with a report from the Butler Group already discussed in a previous post The business value of Operational Intelligence. They also concluded a typical 'knowledge worker' spends 2 hours a day searching for information. So things are in line here...
Pfff... Isn't this shocking when you think of this? Especially considering the over a trillion dollars spent each year globally on IT, aimed at improving efficiency, saving costs, enabling growth, etc. So what about now really enabling your staff to concentrate on what they do best and helping them to navigate this rapidly expanding sea of information?
Now Accenture furthermore also mentions:
- Three out of five managers miss information that might be valuable to their jobs because it exists somewhere else in the company and they just can not find it.
- Two out of five managers accidentally use the wrong information at least once a week.
- Over half the managers feel that less than half of the information they receive is valuable.
- Three out of five managers claim that having to go to numerous data sources to compile information is a difficult aspect of managing information for their jobs.
- Almost two out of five managers feels that there is so much information available that it takes a long time to actually find the right piece of data.
So how's this then for a value proposition?
Operational Intelligence: helping you save valuable time and free up the hours currently wasted every day by tracking down relevant information for your job.
29 December 2006
Operational Intelligence vs. Operations Intelligence vs. Operational BI vs. ... ?
In my previous post Operational Intelligence augments Business Intelligence, I referenced to an article by AMR Research on the topic of what they call Operations Intelligence instead of the Operational Intelligence I find better suited. Apparently one of their readers agreed and sent in a letter regarding this.
The Intelligententerprise.com prefers to call it Operational BI in their 7th annual BI Megatrends report. A term I like allot too I must admit, but more because of the commercial value then because of it's descriptive essence.
Also IT analyst IDC uses the term Operational BI frequently. Ventana Research uses the same Operational Intelligence I personally also prefer and our company uses in all MarComms and on our website. This term is also defined on Wikipedia, even though I think their definition could be improved upon.
So which term do you prefer? What words do you use when searching the web for related information or explaining the technology to a colleague?
The Intelligententerprise.com prefers to call it Operational BI in their 7th annual BI Megatrends report. A term I like allot too I must admit, but more because of the commercial value then because of it's descriptive essence.
Also IT analyst IDC uses the term Operational BI frequently. Ventana Research uses the same Operational Intelligence I personally also prefer and our company uses in all MarComms and on our website. This term is also defined on Wikipedia, even though I think their definition could be improved upon.
So which term do you prefer? What words do you use when searching the web for related information or explaining the technology to a colleague?
20 December 2006
Think Different
Here's a small test for you:
First, see Apple's commercial on innovation on YouTube.
Secondly, ask yourself a few questions: Are you a true innovator? Do you lead or follow? Do you think out of the box? Are you a crazy one?
Thirdly, act now! That is if you answered positivily above and are lacking insight into your companies operational performance. Challenge yourself and challenge your OI or BI supplier.
Think different! That is, if you're up to it...
First, see Apple's commercial on innovation on YouTube.
Secondly, ask yourself a few questions: Are you a true innovator? Do you lead or follow? Do you think out of the box? Are you a crazy one?
Thirdly, act now! That is if you answered positivily above and are lacking insight into your companies operational performance. Challenge yourself and challenge your OI or BI supplier.
Think different! That is, if you're up to it...
19 December 2006
Operational Intelligence augments Business Intelligence
Below are some excerpts from an article by AMR Research (Operations Intelligence Augments Business Intelligence):
Business Intelligence leverages the data captured in ERP systems
When asked, business users will grudgingly concede that they have realized some value from their enterprise resource planning (ERP) investments. They have done so by standardizing global processes such as order-to-cash and procure-to-pay, and facilitating cost reductions through arduous business re-engineering efforts and major reorganization around shared services. However, these same business users get much more animated about the ability to analyze their business performance globally. In fact, the ability to analyze is always at or near the top priority of virtually every spending survey AMR Research conducts. Being able to quickly show how they can "slice and dice" all the data captured in their ERP systems leads to a much better understanding of myriad metrics such as which products are selling in each part of the world, average selling price, best- performing salespeople, contribution of each product to profitability, and other sales and financial performance measures.
Most Business Intelligence Looks In The Rearview Mirror
Running today's global manufacturing enterprise on ERP and traditionally implemented BI is like driving down the New Jersey Turnpike in reverse at 65 mph using only the rearview mirror. ERP architectures are optimized for transactional efficiencies rather than real-time reporting. In many cases, BI platforms must go through a time-consuming "extract, transform, load" process to turn ERP data into intelligence that can readily generate standard reports and facilitate the slicing and dicing that allows business users to analyze performance rather than spend 70% to 80% of their time collecting data, as they used to before ERP and BI. If you are always looking in the rearview mirror, you miss what is going on around you right now. That is a recipe for disaster in today's highly dynamic business environment. By the time you detect an operational problem in BI, you have already made poor-quality products and missed orders.
Checklist: How to decide if you need a business intelligence/operations intelligence solution
Business Intelligence leverages the data captured in ERP systems
When asked, business users will grudgingly concede that they have realized some value from their enterprise resource planning (ERP) investments. They have done so by standardizing global processes such as order-to-cash and procure-to-pay, and facilitating cost reductions through arduous business re-engineering efforts and major reorganization around shared services. However, these same business users get much more animated about the ability to analyze their business performance globally. In fact, the ability to analyze is always at or near the top priority of virtually every spending survey AMR Research conducts. Being able to quickly show how they can "slice and dice" all the data captured in their ERP systems leads to a much better understanding of myriad metrics such as which products are selling in each part of the world, average selling price, best- performing salespeople, contribution of each product to profitability, and other sales and financial performance measures.
Most Business Intelligence Looks In The Rearview Mirror
Running today's global manufacturing enterprise on ERP and traditionally implemented BI is like driving down the New Jersey Turnpike in reverse at 65 mph using only the rearview mirror. ERP architectures are optimized for transactional efficiencies rather than real-time reporting. In many cases, BI platforms must go through a time-consuming "extract, transform, load" process to turn ERP data into intelligence that can readily generate standard reports and facilitate the slicing and dicing that allows business users to analyze performance rather than spend 70% to 80% of their time collecting data, as they used to before ERP and BI. If you are always looking in the rearview mirror, you miss what is going on around you right now. That is a recipe for disaster in today's highly dynamic business environment. By the time you detect an operational problem in BI, you have already made poor-quality products and missed orders.
Checklist: How to decide if you need a business intelligence/operations intelligence solution
- Are critical business and operational data available to all rather than a select few?
- Do you know with certainty which customers/products/channels are most profitable?
- Do you know which suppliers have the best on-time delivery performance?
- Does your firm have complete visibility of manufacturing key performance indicators across the full enterprise?
- Can you effectively sense and respond to dynamic changes in demand and/or supply?
- Is there a definitive source of business and operational data that everyone uses?
- Can you use information today to predict performance tomorrow?
- Is the right data available at the right place at the right time?
- Are your real-time data needs being met today?
The business value of Operational Intelligence?
A month or so ago I started looking for additional background info on the business value of Operational Intelligence. I wanted to know for instance how much time the average 'knowledge worker' looses each day, when using inefficient ways of looking for information. In October 2006, Butler Group published a report on exactly this subject: Enterprise Search and Retrieval
Apparently organizations waste 10% of the salary bill when searching for information! So there's an immediate savings opportunity... However, my gut feel tells me that the biggest impact is not in efficiency but in improved quality and speed of decisions. However I'm still looking for metrics to support this. Please leave a comment if you know of any related research.
Apparently organizations waste 10% of the salary bill when searching for information! So there's an immediate savings opportunity... However, my gut feel tells me that the biggest impact is not in efficiency but in improved quality and speed of decisions. However I'm still looking for metrics to support this. Please leave a comment if you know of any related research.
First post
This blog is intended as a way to communicate my thoughts, ideas and knowledge in the field of Operational Intelligence. I work for a Dutch company called AGP Solutions. We are specialists in the field of Operational BI and have developed our own software framework Xenopsis to build innovative information portals.
I am a Dutch Native, but will post in (US) English. So please bare with me if you would stumble upon some slight spelling errors ;-)
I am a Dutch Native, but will post in (US) English. So please bare with me if you would stumble upon some slight spelling errors ;-)
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