I forget: what's in-memory?

By Boris Evelson
 

In-memory analytics are all abuzz for multiple reasons. Speed of querying, reporting and analysis is just one. Flexibility, agility, rapid prototyping is another. While there are many more reasons, not all in-memory approaches are created equal. Let’s look at the 5 options buyers have today:
 

1. In-memory OLAP. Classic MOLAP cube loaded entirely in memory

Vendors: IBM Cognos TM1, Actuate BIRT
Pros

  • Fast reporting, querying and analysts since the entire model and data are all in memory.
  • Ability to write back.
  • Accessible by 3rd party MDX tools (IBM Cognos TM1 specifically)

Cons

  • Requires traditional multidimensional data modeling.
  • Limited to single physical memory space (theoretical limit of 3Tb, but we haven’t seen production implementations of more than 300Gb – this applies to the other in-memory solutions as well)

 

2. In-memory ROLAP. ROLAP metadata loaded entirely in memory.

Vendors: MicroStrategy
Pros

  • Speeds up reporting, querying and analysis since metadata is all in memory.
  • Not limited by physical memory

Cons

  • Only metadata, not entire data model is in memory, although MicroStrategy can build complete cubes from the subset of data held entirely in memory
  • Requires traditional multidimensional data modeling.

 

3. In memory inverted index. Index (with data) loaded into memory

Vendors: SAP BusinessObjects (BI Accelerator), Endeca

Pros

  • Fast reporting, querying and analysts since the entire index is in memory
  • Less modelling required than an OLAP based solution
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Three Top Questions To Ask a BI Vendor

By Boris Evelson

 

An editor from a leading IT magazine asked me this question just now, so I thought I'd also blog about it. Here it goes:

 

Q1: What are the capabilities of your services organization to help clients not just with implementing your BI tool, but with their overall BI strategy.

 

The reason I ask this as a top question, is that most BI vendors these days have modern, scalable, function rich, robust BI tools. So a real challenge today is not with the tools, but with governance, integration, support, organizational structures, processes, etc – something that only experienced consultants can help with.
 
Q2:  Do you provide all components necessary for an end to end BI environment (data integration, data cleansing, data warehousing, performance management, portals, etc in addition to reports, queries, OLAP and dashboards)?
 
If a vendor does not you'll have to integrate these components from multiple vendors.
 
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What % of your company workers use enterprise BI apps (see the blog for definition and exclusions)?

Number of people using BI

By Boris Evelson

 

A number of clients ask me "how many people do you think use BI". Not an easy question to answer, will not be an exact science, and will have many caveats. But here we go:

 

  1. First, let's assume that we are only talking about what we all consider "traditional BI" apps. Let's exclude home grown apps built using spreadsheets and desktop databases. Let's also exclude operational reporting apps that are embedded in ERP, CRM and other applications.
  2. Then, let's cut out everyone who only gets the results of a BI report/analysis in a static form, such as a hardcopy or a non interactive PDF file. So if you're not creating, modifying, viewing via a portal, sorting, filtering, ranking, drilling, etc, you probably do not require a BI product license and I am not counting you.
  3. I'll just attempt to do this for the US for now. If the approach works, we'll try it for other major regions and countries.
  4. Number of businesses with over 100 employees (a reasonable cut off for a business size that would consider using what we define as traditional BI) in the US in 2004 was 107,119
  5. US Dept of Labor provides ranges as in "firms with 500-749 employees". For each range I take a middle number. For the last range "firms with over 10,000" I use an average of 15,000 employees.
  6. This gives us 66 million (66,595,553) workers employed by US firms who could potentially use BI
  7. Next we take the data from our latest BDS numbers on BI which tell us that 54% of the firms are using BI which gives us 35 million (35,961,598) workers employed by US firms that use BI
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Who are the BI Personas?

The world is changing. The traditional lines of demarcation between IT and business, developers and end users, producers and consumers of info no longer work. But every time I attempted to create a matrix of BI personas in the new world, I ended up with so many dimensions (business vs. IT, consumers vs producers, strategic vs tactical vs operational decisions, departmental vs. line of business vs enterprise cross functional roles, running canned reports vs. ad-hoc queries, and many others, i ended up with something quite unreadable. But there still has to be something that on the one hand shows the realities of the new BI world, yet something that fits onto a single PPT. Here's my first attempt at it (click on the small image to see the full one).

 


In this diagram I attempt to show

  • Who's consuming vs. producing the information, how heavy or light that task is. What's interesting is that all our research shows is that most of the BI personas now are both consumers and producers of info.
  • Who's using what style of BI as in reports, queries, dashboards and OLAP
  • Who is using BI only as reports and dashboards embedded in enterprise apps (such as ERP, CRM, others), which usually means canned reports and prebuilt dashboards, vs BI as a standalone app
  • Who's using non traditional BI apps, such as the ones allow you to explore (vs just report and analyze) and allow you to perform that analysis without limitations of an underlying data model
  • Who's a producer and a consumer of advanced analytics
  • And finally show the level of reliance on IT by every group

As always, all comments, suggestions and criticism are very welcome! HD

333 Rule To Keep Your BI Apps In Check

Over the last 25 years in the business I heard my share of BI horror stories: “we have over 20 different BI tools”, or “we have a few thousand reports in our BI application”. BI is very much a self fulfilling prophecy – “build it, and they will come”. As we popularize BI, and as technology becomes more scalable, more stable, more function rich and user-friendly  - BI spreads like wildfire and often becomes uncontrollable.

I can’t help but to quote from one of my favorite books by a British author Jerome K. Jerome “Three Men In A Boat, To Say Nothing Of A Dog”. One of the reasons I love the book, in addition to it being one of the funniest novels I ever read, is that I can almost always find a very relevant humorous quote to just about any life or business situation. At the beginning of the book three British gentlemen are planning a vacation on a river boat. As they plan for how much food and supplies they should carry, they quickly realize that there isn’t a boat big enough to fit the dimensions of the Thames river to carry all that junk.

“How they pile the poor little craft mast-high with fine clothes and big houses; with useless servants, and a host of swell friends that do not care twopence for them, and that they do not care three ha'pence for; with expensive entertainments that nobody enjoys, with formalities and fashions, with pretence and ostentation, and with - oh, heaviest, maddest lumber of all! - the dread of what will my neighbour think, with luxuries that only cloy, with pleasures that bore, with empty show that, like the criminal's iron crown of yore, makes to bleed and swoon the aching head that wears it!

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