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Data strategy & BI

25 results

Zero Trust: Your Digital Transformation Requires a Risk Transformation

New and evolving technology landscapes need evenly-matched cybersecurity: as new opportunities arise through digital tools, so too do new risks. Using a framework such as Zero Trust – which assumes every entity attempting to access the system or network may have malicious intent and therefore, as a default, should not be trusted – provides the visibility and controls needed for modern businesses to protect themselves and their customers.

Zero Trust – It Begins With Identity Management

By Christian Koch Senior Vice President Cybersecurity and Lead for IoT/OT NTT DATA DACH

Zero trust is a necessary evolution for businesses to be cyber secure in our digital modern landscape. To eliminate cyber risk and threats, businesses can implement a zero trust approach to protect data and systems every step of the way.

Establishing Trust in Data for Businesses

By Theresa Kushner Head of North America Innovation Center, NTT DATA Services

Obtaining data can open up a whole wealth of business opportunities, as long as the data is valid and trustworthy. However, having incorrect, outdated or inaccurately sampled data can be damaging and costly. In such turbulent times, how can we secure data integrity for the best outcomes for businesses?

Why Intelligent Applications Build Better Relationships With Customers

By Dragoş Căţoiu Head of Private Sector, NTT DATA Romania

With skilful use of technology and data, businesses today can create intelligent customer experiences that outclass anything that was previously possible. Intelligent applications – those that use AI and predictive analytics to provide personalised, actionable outcomes – cannot be overlooked for those wanting to get (or stay) ahead.

The Compassionate Corporation: A Pragmatic Approach to People-Centric Transformation

By Michael Goodman VP of Business Insights, NTT DATA Services , Kim Curley Vice President, Workforce Readiness Consulting, NTT DATA Services , Lisa Woodley General Manager - Northeast, Nexient an NTT DATA Company

How can businesses change and grow in a way that’s both practical for the organisation and empathetic to the individuals that make it up? The first step is understanding that people are always the drivers, as well as the agents, of change. Leaders must now rethink their growth strategy and take a humanity-meets-pragmatism approach to driving their business forward.

How to Use Data Science to Make Faster and Better Decisions

By Daan van Beek Founder and CEO of Passionned Group and author of Data Science for Decision-Makers

Could it be possible to make your organisation twice as agile? When businesses behave intelligently, they use data science to facilitate a culture of continual, democratised decision-making, which can cut response times in half.

How workload automation can be a game-changer

By Stefan Schwieger Senior Managing Consultant, NTT DATA DACH

Most companies use workload automation software to automate business processes. However, reality also shows that a patchwork of different solutions quickly reaches its limits if end-to-end control across applications, data and infrastructures cannot be guaranteed.

Driving Intelligence With an Automation Strategy That’s Right for Your Business

By Felipe Antonio Bustos Senior Business Manager, NTT DATA Europe & LATAM

Instead of allowing technology to drive business decision-making, intelligent leaders must thoroughly examine how automation and other market-changing technologies can best complement their business strategy – not define it.

Don’t Sleep on Data: Three Steps to Diving In

By Shamlan Siddiqi Vice President, Data Advisory & Transformation Group, NTT DATA Services

Data-Driven and Intelligent: How SAP Helps Organisations Perform at Their Best

By Ricardo Langa SAP Value Proposition Head, NTT DATA Europe & LATAM

Actionable intelligence from rich data gives you immediate competitive advantage. Once you trust these insights enough to devolve some decision-making to automated systems, then you are on the way to being a data-driven enterprise.

Amplifying Employee Satisfaction With Analytics

By Silvia Lippi Consulting Engagement Manager, NTT DATA Italy

Covid has changed almost everything about how we work, and now HR is undergoing a revolution. HR’s most important role, arguably, is improving the employee experience – in turn contributing to profitability, competitiveness and, of course, the happiness of the workforce. Here’s how data and analytics support this aim.

5 Minutes On… Carbon Footprint Measurement

By Bill Wilson Head of Data & Intelligence Solutions, NTT DATA UK

The Most Important Data Challenge There’s Ever Been

By Bill Wilson Head of Data & Intelligence Solutions, NTT DATA UK

With strong pressure in B2B coming from supply chain and investment funding to be able to prove sustainability goals, robust data is vital. Despite the complexity, organisations must work towards the big picture of data collection and analysis within their business now, to be in position to take the opportunities that carbon emission data can provide.

Seven Tools for Sustainability Success

By Kristoffer Nilaus Tarp Head of Sustainability Practice, NTT DATA Business Solutions Nordic Region

We don’t have time to think conceptually about sustainability operations anymore – we must act. Results on the ground are what we need to move the needle, but many leaders aren’t sure how to get started. With this toolkit, you can put theory into practice now.

Innovating With Data in a Rapidly Changing World

By Ian McVicar Director, Data & Intelligence, NTT DATA UK

Businesses are too focused on their desired data end-state being advanced analytics and machine learning. With increasingly rapid change and radically fluctuating consumer behaviours, historical data is a poor guide to the future. Partnering to establish data-sharing ecosystems is the future of assessing innovation success.

The Media Sector Transformed in Covid Times

By Andrea Fravega Head of Media, NTT DATA Italia

Covid has accelerated the trend towards “digitally-oriented” consumers. Companies in the media sector must be ready to seize the opportunities linked to this evolution, investing in key areas including security, data and blockchain. This will be crucial for companies in the media sector to survive in a hyper-competitive and fragmented market.

Accelerating Data Insights to Steer Smoothly Through Crisis

By Michael Gardner Senior Manager of Data and Analytics, NTT DATA UK

Leaders will do well to remember that crises always present opportunities for improvement and advancement. By embracing agility and using data and analytics to their best advantage, leaders will be in a stronger position to navigate through the near-term challenges that the pandemic has raised.

Sharpening the Organisational Senses: Lessons From Telecoms Data Leaders

By Bill Wilson Head of Data & Intelligence Solutions, NTT DATA UK

If the modern firm is an organism living through rapid and complex changes in its ecosystem, then data insight provides its sensory information. Using data to drive decision-making, as has long been the case for telecoms companies, holds the key to continual adaptation and improvement.

Collaborating through Adversity

By Eddie Copeland Director at London Office of Technology and Innovation

The London Office of Technology and Innovation (LOTI) connects the London’s 33 boroughs and during the pandemic has focused on three key areas of collaboration to help London - sharing knowledge, collaborating on new ideas and mitigating the risk of innovation.

Thwarting the Effects of Black Swan Events with Data

By Alessandro Santi Head of Data Intelligence Consulting, NTT DATA Italy

In a world where uncertainty is the only thing that is certain, data quality and data semantics have the potential to minimise the impact of unexpected events. Data intelligence can add value, optimise business processes, and help build stable foundations that can hold the organisation steady when it hits the next unpredictable event.

How to Succeed at Corporate Innovation

By Peter Jackson Director of Group Data Sciences, Legal & General