knowledge management data analytics

Knowledge ManagementData Analytics

Purdy’s Wharf Tower II1969 Upper Water StreetSuite 1500

Sanjay Khanna Halifax, NS B3J 3R7MBA, Certified Knowledge Manager

Tel: 902-721-5529Fax: [email protected]

© Deloitte LLP and affiliated entities.

What is knowledge?

Data – Facts and Figures

E.g., headcount, revenue, names, locations, client lists

2 Knowledge Management Analytics

Information – Data with purpose, relevance and context

E.g., mission, values, policies, procedures, strategies

Knowledge – Information with experience and reflection

E.g., methods and tools, research, marketing materials


“Knowledge Management needed”

Overload of data


Decision making

What is critical vs. what is not

Lack of content management

Mission & vision

Technology solutions

WIIFM??


Knowledge Management is not about storing documents or about processes and tools.

Just about getting information to the front office and the portal

Overloading employees with information

Purely a technology solution

Creating additional workload which will not add value

A change in employee’s behaviour and attitudes

Identifying and sharing business critical knowledge

Getting the most from the intellectual capital of an entire

team

Integrated in daily activities and processes

Knowledge Management is not:Knowledge Management is:

An off the shelf product or program that can be copied

Customized to an organizational structure, products, services and

needs

A stand alone program or project and should not be measured as

such

A way to support achievement of business goals

Getting the right information to the right people at the right time

Sharing experiences and insights

To maximise people expertise and improve

productivity



Organizational benefits

Key strategic metrics need to be determined and leveraged

Knowledge

Process

Business



Knowledge Management Framework


Processes and Organization •A formal structure within the organization linked to the business priorities

People and Culture•Determine how the intellectual capital has to be included in each collaborator’s role, expectations, day-to-day activities

Strategic Alignment•KM is aligned in the strategic goals and objectives of the entire organization to achieve business targets and increase client impact

Technology•An IT platform in line with business requirements and culture supporting both tacit and explicit knowledge

Integrated view and single point of entry

Tools StructureInformation

Acquisition & Dissemination

Technology

Content

BehaviorsCapabilities

People and Culture

Motivators

Strategic Alignment

Corporate Strategy

Business Objectives &

Goals

Learning and Development

Content and Context•Top quality and accessible content that can be applied to specific issues and opportunities

Leadership and Governance

• Leadership and governance is visible and recognized within the organization

Governing Body

Policies & Procedures

Performance Management

Leadership and Governance

Content and Context

Business Critical Events

Business Critical Content

Business Critical

Expertise

Processes and Organization

KM Roles & Responsibilities


KM approach

Plan / design future state

Build future stateDeliver knowledge sharing

environment

Operate / monitor knowledge sharing

environmentAssess current state

What is the current knowledge sharing

environment?

What will the future of knowledge sharing

environment look like?

What is required to create a sustainable knowledge

sharing culture?

How can the knowledge sharing environment be

deployed?

How can performance be assessed and

maintained?

Checkpoint

•Will the KM strategy and approach as defined meet the business strategy, goals and objectives?



Deloitte Analytics

11

Clients know their organization's data is full of potential. Stored and siloed throughout their business, it represents a wealth of possibilities.

Deloitte’s deep industry experience and advanced analytics capability maximizes the value of data. We look at an organization from the inside out – turning everyday information into useful and actionable insights that inform client’s decision-making.

Knowledge Management Analytics


Big data

Big data provides a new dimension to business analytics

• Business analytics is the practice of using data to drive business strategy and performance

• By understanding decision-makers’ roles in maximizing business value, business analytics should be turning everyday information into useful and actionable insight

• Analytics becomes predictive (foresight)

Hindsight

Advanced

analytics

Performancemanagement

Business intelligence

Data management

Foresight

Insight



The process of delivering analytics business results is one of continuous improvement. Starting anywhere in the analytics cycle, an organization can immediately begin to address its specific needs

Analytics Vision

Applied

Analytics

Business

Results

Facts

What data can be leveraged to understand the business and improve performance?

Understanding

What is currently happening or has happened related to our business and why? What should we do about it?

Actions

How do we look to the future and build analytic insights directly into business processes?

Issues

What business problem are you trying to solve?



Begin the analytics journey by exploring the business challenges and define your analytics strategy

Understand the current state, benchmark and define detailed requirements

Define a roadmap to build analytics capabilities

Vision and strategy

Analytics maturity

assessmentRoadmap

Stage 1 Stage 2 Stage 3

Proof of concepts and pilots to test hypotheses and refine roadmap and gain buy-in for analytics

Deliver the capabilities set out in the analytics strategy and exploit with business users to ensure uptake and continuous improvement

Test and learnAnalytics target operating model

Stage 4 Stage 5

❹

❸

❷

❶

❺

5 key stages on the analytics journey


Visiting the Deloitte GreenhouseHighly Immersive Visual Environment (HIVE)


• Interactive, Immersive and Mobile technologies (MS Surface, iPads, Multi-touch) • Data Visualization and Geospatial Analytics • Enterprise Sustainability Analytics • Predictive Modeling • Text and Unstructured Analytics • Social media• Pre-load client data or use sample data• Integration of multiple tools and technologies

Highly Immersive Visual Environment (HIVE)

Knowledge Management Analytics16

knowledge management data analytics

Documents

knowledge management

processesknowledge management

affiliated entities

business targets

business requirements

business prioritiespeople

achievement of business

entire organization