DATA & ANALYTICS

Leveraging data as a strategic asset can help make better decisions, forecast business outcomes and build a smarter enterprise. 

TNG provides organizations with effective ways to analyze and model business events using internal and external data. We do so by applying advanced analytics capabilities through the lens of our extensive strategy and industry experience. An upshot is a common-sense approach to solving hard business problems with data science that’s firmly grounded in your industry. 

Our services include:

Commercial decision support

• Get data-driven answers to your toughest business questions. You’ll end up with an improved understanding of your business and market dynamics, and knowledge of where the opportunities are and what interventions are really working, increasing the ability to respond to market shifts and evolving customer needs.

Analytics and data strategy

• Create a strategy to maximize the opportunities to apply data and analytics to your business. A robust strategy helps you gain consensus on key commercial issues and performance questions. You’ll benefit from a much clearer understanding and greater confidence in seizing the new opportunities created by data analytics and big data. This will accelerate your progress in developing new, improved products and services, as well as operating more efficiently and effectively.

Advanced analytics enablement

• Run custom-built analytics on your own. Our advanced analytics toolkit includes models and data sets that are tested and proven to work in your specific commercial setting. You’ll acquire an ability to exploit data and create insights as your team members become highly capable users of a leading-edge toolkit. You’ll also reach your analytics goals more efficiently, see higher adoption of your advanced analytics systems and tools and mitigate the disruption of emerging artificial intelligence technologies.

Systematically put analytics in the hands of your people.

Advanced analytics platforms have evolved from supporting IT and finance functions to enabling business users across the enterprise. Several things make this possible. First is the availability of cheap, powerful computer processing. There’s also more data, thanks to the digitization of business interactions and reduced cost of record storage. Finally, a new generation of software tools allows people to tap into data in ways that were unthinkable just a few short years ago.

But to get advanced analytics capabilities in the hands of business users, organizations must overcome a handful of challenges. One is simply knowing where to start: Companies often have massive amounts of data plus any number of ways they might want to use it. Another issue is helping affected employees adjust to new systems and tools. Another is inflexible business intelligence that generates reports that are rarely read. Skills gaps are also likely to appear, prompting decisions about training and hiring.

How we support

We help you build out an advanced analytics capability of your own via the following steps:

Define goals, assets, and constraints

• Identify the principal commercial issues for your business plus the hoped-for business results
• For each issue, identify questions that need answering as they relate to business performance (i.e., revenue, cost, profit margin, or operational capability)
• Evaluate the quality and availability of internal and external data
• Reveal barriers to setting up advanced analytics (i.e., data, resources, skills or culture)

Prioritize initiatives

• Determine ways to apply advanced analytics so that they address key commercial issues and questions
• Gauge the benefits of addressing each commercial issue
• Size up the potential of emerging technologies such as robotic process automation and machine learning
• Identify and prioritize quick-win initiatives
• Identify other, more major high-value initiatives and develop plans to implement

Develop and deploy initiatives

• Address capability barriers to success
• Develop detailed plans for training, external resourcing, tools, and methodologies
• Address organizational barriers and ways to secure buy-in from major business divisions
• Create benefits-oriented key performance indicators to enable measurement and celebration of success
• Prepare the data and relevant models, then test and calibrate them to create the first iteration

Engage, excite and expand

• Target quick wins to show the potential of advanced analytics
• Document lessons for future initiatives
• Build on the momentum from quick wins to pursue higher-value projects

Your benefits

• Analytical models, toolkits, and data sets that are tested and proven to work in your specific commercial setting
• The ability to harness data and manage its growth so people can remain productive
• Bigger payback from existing data and advanced analytics investments
• Higher adoption of advanced analytics systems and tools
• Less disruption from emerging cognitive technologies

Create a strategy to maximize the opportunities to apply data and analytics to your business.

A robust strategy helps you gain consensus on key commercial issues and performance questions. The availability of cheap, powerful computer processing and the growth in the digitization of business interactions have made it possible to create insights from data in ways that were unthinkable just a few short years ago. On top of all this is the question of how today’s advanced analytics capability will fit in with future developments in artificial intelligence and the Internet of Things.

You’ll benefit from a much clearer understanding and greater confidence in seizing the new opportunities created by data analytics and big data. This will accelerate your progress in developing new, improved products and services, and operating more efficiently and effectively.

How we support

We help you create an advanced analytics strategy via the following steps:

Define goals, assets, and constraints

• Identify the principal commercial threats and opportunities that your business faces
• Understand the capabilities that enable the current products and services
• Establish the data assets held by your business, and your readiness to leverage advanced analytics and big data

Conduct opportunity/threat research

• Assess the current and future potential of relevant technologies, data assets, and analytical techniques
• Map the impact of these developments on the business’s products and services
• Understand the strategies, capabilities, and achievements of the leading players
• Scenario plan the potential ways that players (from within your industry and beyond) will want to participate

Prioritize initiatives and shape the strategy

• Create and iterate a set of initiatives that capture the opportunity (or mitigate the threat)
• Gauge the benefits of addressing each commercial issue
• Identify and prioritize quick-win initiatives
• Identify other, more major high-value initiatives
• Create a roadmap and short-term plan

Your benefits

• Deep understanding of the relevant technology-enabled developments in data and analytics
• Consensus on the implications for the business
• Clear strategy for the business and an outlined roadmap/plan
• Clear set of actions to start executing the strategy

Get data-driven answers to your toughest business questions.

Companies have more data than ever. Data from sales transactions. Data from fulfillment networks. Data from social media. Data from sensors attached to commercial facilities, industrial equipment, fleets of vehicles, and more.

There’s value in all that data, which business leaders understand perfectly. But it’s one thing to have vast stores of data and quite another to have real insights that enable better decisions and new opportunities. For many, the most practical solution is to pair with an outside center of excellence that provides the answers to tough business problems, using analytic toolkits and models tailored to the company’s specific commercial issues.

How we support

TNG supports businesses of all sizes in their efforts to make use of data to maintain a competitive advantage. As part of this service, we:

Draw together and analyze large sets of internal and external data, such as:

• Transaction and sales information
• Supply chain records
• Product and project databases
• Manufacturing workstation records
• Production and labor statistics
• Complaint records and product reviews
• Demographic information
• Government and third-party databases

Identify root causes of business performance, such as:

• Areas of the business that are performing better or worse than others
• Key sources of revenue or margin leakage in the business
• Drivers of good or bad financial and operational performance
• Opportunities to improve performance toward industry benchmarks

Review and optimize the commercial proposition, including:

• Channels (network and sales force)
• Products (range and SKUs)
• ricing

Identify improvements across operational areas, including:

• Sourcing
• Manufacturing
• Inventory
• Logistics
• Workforce

Your benefits

• An improved understanding of the dynamics of the market and your business
• Knowledge of what interventions are really working
• Greater ability to respond to market shifts and regulatory oversight