When we think about how doctors and engineers work, it is reasoning by experience and by similarity. Now the arrival of ‘big data’ is driving the need for big individualized memories… so we can leverage all that experience.
The human capacity to remember the complete history of something and to bring all that knowledge and experience to bear, for any one vehicle or one patient is very limited.
Nevertheless, doctors and engineers reason by experience and by similarity.
Even if this is not the same vehicle or patient, they ask themselves what has been seen before.
What did they learn over the years that is like this?
Have they seen this problem on a different machine? How about a similar type of problem or a similar factual background?
This was an approach that worked while the sum of experience was learnable, or at least manageable via books, records and computers.
Yet healthcare is a great example of an industry where big data is now prevalent everywhere you look.
There are lots and lots of patients, and lots of different, complex, fast changing situations for the practitioners, physicians and others to make sense of.
Similarly manufacturing, and more specifically maintenance repairs, is becoming increasingly complex.
Each vehicle, facility, engine and other machinery has its own history. These consist of millions of parts, all the individuals involved in manufacture and maintenance, plus all the use since then. A single vehicle can last decades, which goes beyond human capacity.
So how do we capture all that data and experience and bring it to bear in a new situation at high speed and with intelligence – so that the new / current problem can be diagnosed and dealt with.
We need a way to understand each vehicle and each person, with its own history and own specific and individual problems.
This complete history, is in fact a memory – a computer based memory containing everything single thing we have learned.
Every person, place and thing.
Such memories are now feasible – we call them a memory base.
And just like a human memory, we can ‘recall’ what is relevant and what makes sense in our current situation.
Natural approach sees 10 to 20 times return on mission.
When people make decisions, we recall our past experiences to find the analogies and similarities. What was like this situation? What was different? What did I do?
How did it turn out?
This is the way the world works… except in business where increasing focus on data has meant more rule based decision-making.
“Less than 20% of information we need to make decisions is stored in the company’s data warehouses. A new approach is needed… DBMS are not capable of handling and searching through all the types of data we have – email, text, voice, video… ” – Donald Feinberg, Gartner VP
High Velocity, High Complexity, High Diversity
A fuzzy world of diverse, complex and disorganized data sources can’t accurately be explained via tables and SQL queries. Indeed, 80% of the answers can’t even be found within your business.
Big Data is not just big in volume but big in velocity as intelligence goes real time.
According to Forrester – current BI technologies are “falling short in the ever-faster race” to meet business needs. (Download report free)
Unlocking experience unlocks ROI
Like natural human intelligence, Saffron focuses on how People, Places and Things fit together.
Like a true corporate memory, it doesn’t require rules, models or statisticians. You don’t even have to decide what to include or exclude. Everything you can know is included.
One global manufacturer has experienced a 10x return on cost of ownership versus savings in year 1.
And because there are always new problems to solve, this is a recurring business case. In year 2, ROI is expected to grow to 20x.
Democratized and operationalized.
BI is no longer just for forecasting, or just for management. Democratized data means real time intelligence within your company. Available to anyone and everyone as needed to get the job done.
Saffron Advantage: experience intelligence without rules.