What We Do

01
Brand Marketing

Strategic planning

Innovative Strategies

An innovative strategy guides decisions on how resources are to be used to meet a business’s objectives for innovation, deliver value and build competitive advantage.

Strategies include:

  • an analysis of a business’s competitive and technological environment
  • its external challenges and opportunities
  • its distinctive advantages.
  • Marketing Research
  • Positoning
  • Messaging
  • Portfolio Architecture
  • Persona/Segmentation

Project & Portfolio Architecture

Project & Portfolio Architecture (PPA) is the bridge between your strategy and operationalization. A Project Portfolio Manager that manages a portfolio of projects runs into multiple challenges: How do you know what decisions to make to most effectively execute the organizational strategy? And how do you stay in control of running daily business? How to connect change to your day-to-day operations, without the risk of losing business continuity?

  • Ideation stage
  • Design stage
  • Build stage
  • Implementation stage

Messaging

Message strategy is deciding what to say and how to say it — in order to achieve an ultimate business goal. It’s how you turn marketing into communications, and communications into results.

  • What to say
  • How to say
  • Why say it
  • Where to say it
  • When to say it
02
Digital Experience

Platform integration

Positioning

Market Positioning refers to the ability to influence consumer perception regarding a brand or product relative to competitors. The objective of market positioning is to establish the image or identity of a brand or product so that consumers perceive it in a certain way.

  • Product attributes and benefits
  • Product price
  • Product quality
  • Product use and application
  • Competitors

Market Segmentation

Market segmentation is a process that consists of sectioning the target market into smaller groups that share similar characteristics, such as age, income, personality traits, behavior, interests, needs or location. These segments can be used to optimize products, marketing, advertising and sales efforts

  • Geographic segmentation
  • Demographic segmentation
  • Psychographic segmentation
  • Behavioral segmentation

Project & Portfolio Architecture

Project & Portfolio Architecture (PPA) is the bridge between your strategy and operationalization. A Project Portfolio Manager that manages a portfolio of projects runs into multiple challenges: How do you know what decisions to make to most effectively execute the organizational strategy? And how do you stay in control of running daily business? How to connect change to your day-to-day operations, without the risk of losing business continuity?

  • Ideation stage
  • Design stage
  • Build stage
  • Implementation stage
03
Data Science

Data platforms

Business Intelligence

Business Intelligence is a process for increasing the competitive advantage of a business by intelligent use of available data in decision making. The Business Intelligence resource for business and technical professionals covering a wide range of topics including data mining, reporting, queries, analysis, data warehouse, scorecarding, dashboards, business event management as well as data integration, on a single, proven architecture.

  • Data Collection
  • Data Completion
  • Data Cleaning
  • Data Modeling
  • Data Visualization

Data Strategy

A data strategy is a long-term plan that defines the technology, processes, people, and rules required to manage an organization’s information assets. All types of businesses collect large amounts of raw data today. However, they need a well-thought-out data management and analysis plan if they want to use this information to make informed decisions. A data strategy outlines an organization’s long-term vision for collecting, storing, sharing, and usage of its data.

  • Operational efficiency
  • Process optimization
  • Faster decision-making
  • Increased revenue streams
  • Improved customer satisfaction

Business Data Modeling

The Business Data Model (BDM) is a conceptual data model that specifies the third-normal-form data structures that are required to represent the concepts that are defined in the business terms. BDM does not contain technical information, such as primary keys, foreign keys, technical attributes for history support. BDM provides an enterprise-wide, generic, and flexible data representation for the design of operational or informational systems, serving as an overall reference point for business and IT.

  • Operational data store
  • Data warehouse model
  • Service model
  • Component design model