In a well-established organization, one or more of the following tools and technologies are getting used in one way or the other. Enterprise Business Intelligence, Data Visualization, Big Data Analytics, Data science and advanced analytics, M/C Learning, Artificial Intelligence: IBM Watson, IOT Analytics, Big Data Processing, Data Cataloguing, Journey Analytics & others. But in order to derive the more business value out of the investment that organization makes, it needs to be connected and should complement each other. Our focus should be towards a new BI Paradigm shift, a new BI startup organization within the organization. The role of new BI Organization is to evolve BI Practices and implementations around what’s happening around the world and bring the latest and greatest of the tools and technologies. If required, they should conduct a proof of concept to prove the values of the technology to Business either in terms of cost saving, cost avoidance or a big business benefits.

The team structure for this transformation ideally should have the following roles
• Data Exploitation Architect
• Data Management Architect
• Data Security officer
• A team of data scientist/advanced analytics people to interface with Business to derive the modern day insights The above-mentioned role should roll up to Chief Architect office. They should have liberty to experiment the trends, attending the webinars, seminars, summits etc. to carve out more space for the modern day BI. In order to be a successful team, it should contain the right balance of Domain Skills, IT Skills and Data Exploitation skill

As the whole BI & Analytics world is going under transformation in waves, BI world is moving from Wave 1 (Semantic Layer Based Platform) to Wave 2 (Visual Based Data Discovery) to wave 3 (Smart Data

Discovery Platform), and the tools & Technologies should also support in making up such transformation. Similar sort of transformation can be found in the way business analyst do their analyses, what it means in terms of insight, Users, Skills, Organization, Interaction and collaboration and more importantly data. The next and the third wave of transformation will change the way we do, the way we operate, the way we govern, the way we collaborate etc. and hence there is a need for the BI & Analytics organization to evolve as well. That will give birth to a new BI Organization within the organization.

The role of new BI Organization is to evolve BI Practices and implementations around what’s happening around the world and bring the latest and greatest of the tools and technologies

We would need to modernize the BI initiatives due to the following reasons

• Align analytics investment with strategic business objectives
• Facilitate self-service analytics capability throughout the organization
• Create new business opportunities through innovative analytics technology
• Support more complex business decision through more sophisticated analytics

There are five analytics blocks that should be considered for Traditional BI, Self Service Analytics, Self Service Data preparation & Digital Analytics etc. They play a different role within each spectrum and contain the points to ponder under the transformation.
• Roles and Organization
• Analytics Capability
• Data Sources
• Process and Governance
• Business Outcome

Few guidelines for preparing the Organization for Modern BI & Analytics

• Multiple Analytics blocks will be integrated to form a holistic platform.
• Realize Business outcome
• Evolve process and Governance with the architecture
• Add the right roles and update the organization

Few recommendations for preparing the Organization for Modern BI & Analytics

• Adopt the right modernization model, according to the organization need and current status
• Identify the target business outcomes, and define the supporting analytic blocks that need to be deployed
• Build upon existing capabilities, skills and process. Innovate and disrupt when possible
• Deliver a holistic and cohesive architecture
• Establish the right processes, organization, and leadership to deliver the modernization initiatives.