Welcome!

Microservices Expo Authors: Flint Brenton, Liz McMillan, Cameron Van Orman, Karthick Viswanathan, Elizabeth White

Related Topics: Microservices Expo

Microservices Expo: Blog Feed Post

The Catch 22 of Traditional Business Intelligence

Business intelligence vendors have been constantly rolling out new functionality and technology through the years

So much has already been said about how much of a pain business intelligence is. The complexity, the constant IT bottlenecks, the crazy cost of software, hardware, consultants and whatnot. Gil Dibner of Gemini Venture Funds (formerly of Genesis Partners) described it very eloquently and in great detail in his blog post about the SiSense investment round.

Since business intelligence imposes so many challenges, every existing BI vendor picks his favorite ones and positions itself as the best at addressing it. Some focus on providing easy to use front end tools for the business user, some on handling complex ETL scenarios and large data sets, others on open source software to remove software licensing costs and so on.



Business intelligence vendors have been constantly rolling out new functionality and technology through the years. But still, it seems like business intelligence has been standing still. No progress has been made in expanding it to the wider market that can't afford long and costly development/customization cycles. In fact, most of the BI vendors that do not sell enterprise-class solutions like SAP, IBM or Microsoft haven't been able to grow much and remain focused on niche markets.

Well, my friends, it's time somebody told you the truth.

Business intelligence can deliver on its promise, but the entire idea needs a complete overhaul. As long as vendors keep improving specific junctions within the traditional BI paradigm, no progress will be made. The traditional business intelligence paradigm needs to be scraped and replaced by something that is humanly manageable.

Why? Because the traditional paradigm contains an inherent flaw that prevents it from taking BI to the next level where ROI is indisputable and business users get another powerful tool added their arsenal - in companies of all (or most) sizes.

The Inherent Flaw in the Traditional BI Paradigm
If you search "why business intelligence projects fail" in Google you will find an abundance of white papers and articles (mostly written by BI vendors themselves) giving their two cents worth. When BI vendors pick their top reasons, they usually pick issues their offerings deal with and the competition's doesn't. Marketing 101. Fair enough.

But one top reason they all seem to agree on for a BI project's failure is the lack of up front planning. That is to say, in order for a business intelligence project to succeed, you must compile your requirements ahead of time, coordinate with all the relevant parties (IT, business departments and executives) and plan the project in accordance to those requirements. Otherwise, you are destined to fail.

In other words, they blame you - the consumer - for a failed BI project. Had you planned ahead, the project would have been a success and you wouldn't have flushed hundreds of thousands of dollars worth of software licenses, hardware and personnel time down the toilet.

Sadly, they have a point. Since traditional BI solutions aren't very sympathetic to unplanned changes from an architectural point of view, anything you don't think of in advance is a real pain to introduce later. So you better think long and hard about what you need, otherwise those requirements you missed could mean the difference between a successful project and complete a complete mess.

But herein lies the catch.

It doesn't matter who you are or how much experience you have, it is utterly impossible to know in advance what your requirements are when it comes to BI. BI is highly dynamic and requirements change all the time because the business changes all the time. A report you need now is not the report you need later, an analysis you do now is only relevant for a short period of time and meaningless shortly after.

Most importantly - if you are a department/company seeking BI but has no BI development experience, you have no way of knowing how a particular requirement will affect the architecture of your solution. Thus, you could easily find yourself disregarding the immediate testing of some particular capability because it seems trivial to you, just to discover later that the entire solution comes tumbling down when you actually try to use it and that without it - the system is useless.

You cannot imagine how often this happens, especially when a solution calls for OLAP cubes built over a data warehouse (bleh).

It's the traditional BI vendors who made up the rules for this game over 10 years ago. They are the ones who've been aggressively promoting a paradigm where everything needs to be thought of in advance otherwise you are sure to fail. It makes sense because these vendors focus on enterprise-wide BI for fortune 500s where the complexity of a BI project is masked by the complexity of the corporation's own business processes. These organizations are used to things taking years to reach perfection because every other process they have pretty much takes the same amount of time to reach it.

But trying to implement the same concepts on slightly smaller corporations is the exact reason why most BI projects fail.

Don't get me wrong. It's always good to plan ahead. But know this - business intelligence requirements are impossible to predict and nearly impossible to measure until the end users use it on real data - in real-life scenarios - over time.

You cannot do this with traditional BI without investing a TON beforehand, and even then you have no guarantees. When you go for BI as advocated by the traditional platform players, you are basically throwing hundred dollar bills down a wishing well and hoping for the best.

Learn from the thousands and thousands of companies who have already learned this harsh lesson with blood and tears. Don't do it. There are ways to change the rules of the game while still getting the same class of business intelligence, without compromising on capability or functionality. But you cannot expect to find it by turning to the traditional BI players that have an over-sized BI developer eco-system they need to provide work for. This can only be done by younger, innovative BI companies armed with new technologies, fresh ideas and sensible pricing models.

Read the original blog entry...

More Stories By Elad Israeli

Elad Israeli is co-founder of business intelligence software company, SiSense. SiSense has developed Prism, a next-generation business intelligence platform based on its own, unique ElastiCube BI technology. Elad is responsible for driving the vision and strategy of SiSense’s unique BI products. Before co-founding SiSense, Elad served as a Product Manager at global IT services firm Ness Technologies (NASDAQ: NSTC). Previously, Elad was a Product Manager at Anysoft and, before that, he co-founded and led technology development at BiSense, a BI technology company.

@MicroservicesExpo Stories
The nature of the technology business is forward-thinking. It focuses on the future and what’s coming next. Innovations and creativity in our world of software development strive to improve the status quo and increase customer satisfaction through speed and increased connectivity. Yet, while it's exciting to see enterprises embrace new ways of thinking and advance their processes with cutting edge technology, it rarely happens rapidly or even simultaneously across all industries.
Most of the time there is a lot of work involved to move to the cloud, and most of that isn't really related to AWS or Azure or Google Cloud. Before we talk about public cloud vendors and DevOps tools, there are usually several technical and non-technical challenges that are connected to it and that every company needs to solve to move to the cloud. In his session at 21st Cloud Expo, Stefano Bellasio, CEO and founder of Cloud Academy Inc., will discuss what the tools, disciplines, and cultural...
DevSecOps – a trend around transformation in process, people and technology – is about breaking down silos and waste along the software development lifecycle and using agile methodologies, automation and insights to help get apps to market faster. This leads to higher quality apps, greater trust in organizations, less organizational friction, and ultimately a five-star customer experience. These apps are the new competitive currency in this digital economy and they’re powered by data. Without ...
These days, APIs have become an integral part of the digital transformation journey for all enterprises. Every digital innovation story is connected to APIs . But have you ever pondered over to know what are the source of these APIs? Let me explain - APIs sources can be varied, internal or external, solving different purposes, but mostly categorized into the following two categories. Data lakes is a term used to represent disconnected but relevant data that are used by various business units wit...
Today most companies are adopting or evaluating container technology - Docker in particular - to speed up application deployment, drive down cost, ease management and make application delivery more flexible overall. As with most new architectures, this dream takes significant work to become a reality. Even when you do get your application componentized enough and packaged properly, there are still challenges for DevOps teams to making the shift to continuous delivery and achieving that reducti...
Enterprises are moving to the cloud faster than most of us in security expected. CIOs are going from 0 to 100 in cloud adoption and leaving security teams in the dust. Once cloud is part of an enterprise stack, it’s unclear who has responsibility for the protection of applications, services, and data. When cloud breaches occur, whether active compromise or a publicly accessible database, the blame must fall on both service providers and users. In his session at 21st Cloud Expo, Ben Johnson, C...
21st International Cloud Expo, taking place October 31 - November 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA, will feature technical sessions from a rock star conference faculty and the leading industry players in the world. Cloud computing is now being embraced by a majority of enterprises of all sizes. Yesterday's debate about public vs. private has transformed into the reality of hybrid cloud: a recent survey shows that 74% of enterprises have a hybrid cloud strategy. Me...
With the rise of DevOps, containers are at the brink of becoming a pervasive technology in Enterprise IT to accelerate application delivery for the business. When it comes to adopting containers in the enterprise, security is the highest adoption barrier. Is your organization ready to address the security risks with containers for your DevOps environment? In his session at @DevOpsSummit at 21st Cloud Expo, Chris Van Tuin, Chief Technologist, NA West at Red Hat, will discuss: The top security r...
‘Trend’ is a pretty common business term, but its definition tends to vary by industry. In performance monitoring, trend, or trend shift, is a key metric that is used to indicate change. Change is inevitable. Today’s websites must frequently update and change to keep up with competition and attract new users, but such changes can have a negative impact on the user experience if not managed properly. The dynamic nature of the Internet makes it necessary to constantly monitor different metrics. O...
Agile has finally jumped the technology shark, expanding outside the software world. Enterprises are now increasingly adopting Agile practices across their organizations in order to successfully navigate the disruptive waters that threaten to drown them. In our quest for establishing change as a core competency in our organizations, this business-centric notion of Agile is an essential component of Agile Digital Transformation. In the years since the publication of the Agile Manifesto, the conn...
Many organizations are now looking to DevOps maturity models to gauge their DevOps adoption and compare their maturity to their peers. However, as enterprise organizations rush to adopt DevOps, moving past experimentation to embrace it at scale, they are in danger of falling into the trap that they have fallen into time and time again. Unfortunately, we've seen this movie before, and we know how it ends: badly.
There is a huge demand for responsive, real-time mobile and web experiences, but current architectural patterns do not easily accommodate applications that respond to events in real time. Common solutions using message queues or HTTP long-polling quickly lead to resiliency, scalability and development velocity challenges. In his session at 21st Cloud Expo, Ryland Degnan, a Senior Software Engineer on the Netflix Edge Platform team, will discuss how by leveraging a reactive stream-based protocol,...
Many organizations adopt DevOps to reduce cycle times and deliver software faster; some take on DevOps to drive higher quality and better end-user experience; others look to DevOps for a clearer line-of-sight to customers to drive better business impacts. In truth, these three foundations go together. In this power panel at @DevOpsSummit 21st Cloud Expo, moderated by DevOps Conference Co-Chair Andi Mann, industry experts will discuss how leading organizations build application success from all...
The last two years has seen discussions about cloud computing evolve from the public / private / hybrid split to the reality that most enterprises will be creating a complex, multi-cloud strategy. Companies are wary of committing all of their resources to a single cloud, and instead are choosing to spread the risk – and the benefits – of cloud computing across multiple providers and internal infrastructures, as they follow their business needs. Will this approach be successful? How large is the ...
You know you need the cloud, but you’re hesitant to simply dump everything at Amazon since you know that not all workloads are suitable for cloud. You know that you want the kind of ease of use and scalability that you get with public cloud, but your applications are architected in a way that makes the public cloud a non-starter. You’re looking at private cloud solutions based on hyperconverged infrastructure, but you’re concerned with the limits inherent in those technologies.
"NetApp's vision is how we help organizations manage data - delivering the right data in the right place, in the right time, to the people who need it, and doing it agnostic to what the platform is," explained Josh Atwell, Developer Advocate for NetApp, in this SYS-CON.tv interview at 20th Cloud Expo, held June 6-8, 2017, at the Javits Center in New York City, NY.
The “Digital Era” is forcing us to engage with new methods to build, operate and maintain applications. This transformation also implies an evolution to more and more intelligent applications to better engage with the customers, while creating significant market differentiators. In both cases, the cloud has become a key enabler to embrace this digital revolution. So, moving to the cloud is no longer the question; the new questions are HOW and WHEN. To make this equation even more complex, most ...
One of the biggest challenges with adopting a DevOps mentality is: new applications are easily adapted to cloud-native, microservice-based, or containerized architectures - they can be built for them - but old applications need complex refactoring. On the other hand, these new technologies can require relearning or adapting new, oftentimes more complex, methodologies and tools to be ready for production. In his general session at @DevOpsSummit at 20th Cloud Expo, Chris Brown, Solutions Marketi...
Leading companies, from the Global Fortune 500 to the smallest companies, are adopting hybrid cloud as the path to business advantage. Hybrid cloud depends on cloud services and on-premises infrastructure working in unison. Successful implementations require new levels of data mobility, enabled by an automated and seamless flow across on-premises and cloud resources. In his general session at 21st Cloud Expo, Greg Tevis, an IBM Storage Software Technical Strategist and Customer Solution Architec...
Today companies are looking to achieve cloud-first digital agility to reduce time-to-market, optimize utilization of resources, and rapidly deliver disruptive business solutions. However, leveraging the benefits of cloud deployments can be complicated for companies with extensive legacy computing environments. In his session at 21st Cloud Expo, Craig Sproule, founder and CEO of Metavine, will outline the challenges enterprises face in migrating legacy solutions to the cloud. He will also prese...