Analytics
The Data Economy
What is your time to answer?
Consolidation of data management and analytics is advancing speed and accuracy of every business decision.
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Summer 2018: Changing the way we work
Digital technologies are reshaping work at CIO 100 award-winning organizations, empowering employees to shift focus to higher-value activities.
Digitally Speaking
When big data and cybersecurity collide
Protecting your company’s data starts with understanding it first.Digital Transformation Insights
How modern firms can capitalize on data assets
Adopting a data-driven operating model boosts customer loyalty and drives business.
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How health care orgs are addressing AI challenges
Health care companies are embracing artificial intelligence for everything from drug research to diagnostics, but challenges centered around privacy, data and the AI ‘black box’ remain.
Competing in a Digital First World
Recognizing and solving for AI bias
AI is unlocking tremendous value for businesses by solving many last-mile automation problems that previous waves of technology could not address. But just like any technology early in its evolution and application, there are a few things to watch out for – and unintended bias tops the list. Proper design and rigorous planning can mitigate the issue.
Technology Insights
Do you have a plan for harnessing IoT data?
As things become more connected through the Internet of Things, artificial intelligence will become more powerful. But, raw IoT data alone isn’t enough to uncover the true value of AI.
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UPS counters Amazon.com challenge with IoT, analytics
IoT sensors and data about delivery routes and vehicles are helping UPS fend off Amazon.com, its No. 1 threat in the shipping business.
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What is a data engineer? An analytics role in high demand
Data engineers are vital members of any enterprise data analytics team, responsible for managing, optimizing, overseeing and monitoring data retrieval, storage and distribution throughout the organization.
Data in the Digital Age
Using location data for stock picks? Watch for stale data models
Because so much of the location data gathered to gauge foot traffic at restaurants, car dealerships or other business locations is gleaned via mobile apps, several variables can affect the validity of measurement models. Yet, most investors, money managers and consultants are unaware of the risks that lurk when providers of this alternative data fail to update their data models.
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XaaS success: Proving the value of ‘everything as a service’
CIOs are consumerizing IT in new ways, including rolling out self-service analytics and proof-of-concept-as-a-service solutions. Welcome to the age of XaaS.
Enterprise Service Management
Lessons enterprise service management professionals can learn from the FIFA World Cup
One of the biggest challenges faced by organizations when implementing any type of enterprise service management strategy is with the process alignment and people. The recent World Cup tournament teaches us a thing or two about improving your service management efforts.
Digitally Remastered
Ensuring your customer feedback loops are built to change
How enterprises are growing customer feedback loops to enhance their bottom lines.
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Digital transformation in food processing? Think automated audits
Food processing is still a highly manual industry, but packaging company Sealed Air is helping its customers improve yield and reduce waste with automated audits.
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At GM, self-service analytics drives business results
The automotive giant built a predictive analytics platform to fuel insights across its many business lines, including the emerging market for autonomous vehicles.
Analysis
8 technologies driving health care M&As
Forty-eight percent of respondents to a West Monroe survey cited using technology to disrupt incumbents as one of their top drivers for making health care acquisitions. Here’s a look at what they’re buying.
News Analysis
$660,000 data privacy fine highlights dangers for businesses dabbling in politics
A year into an investigation into the use of data analytics in political campaigns, the U.K.’s privacy watchdog is hitting companies that shared data with political parties with sanctions including a criminal prosecution and a US$660,000 fine.
You, the Data and AI
In data we trust – or do we?
AI is the engine that drives insights. Data fuels the engine. So what happens if the fuel is diluted?
Enterprise Data Insights
Effective artificial intelligence requires a healthy diet of data
Exploring how a solid foundation of data make AI less artificial and more intelligent.
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7 tips for overcoming predictive analytics challenges
Predictive analytics is a powerful tool, but one thing it can't foresee are the issues users encounter while deploying and using the technology. Here's some help.
From Business Strategies to Successful IT Delivery
The art of measurement in enterprise and business architecture
The need for strategic and tactical measurements, how to have effective measurements in place that aren't limited to IT architecture and, three sources of KPIs lists for various industries.
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Lexmark CIO: Continuous learning is key to digital transformation
Brad Clay, who is upgrading everything from how Lexmark replenishes printer toner to how employees consume corporate information, says the company must learn fast and learn continuously.
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10 BI tools for data visualization
Visual analytics is the core of business intelligence. Here are the tools you need to see through the data.
Disruption by Data
How big data has changed politics
An inside look into how big data is revolutionizing politics, for better or worse.
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Workday transforms risk management into strategic advantage
Workday's home-grown risk management tool offers a strategic boost by facilitating communication between security teams and business leadership.
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JLL is digitally transforming the office space
Jones Lang LaSalle has hit on a successful formula for its leased properties, leveraging mobile apps, IoT and analytics to offer digital services to corporate employees accustomed to personalized services.
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9 ways to get more value from business intelligence in 2018
Improved customer relations, increased employee productivity, new revenue streams — big benefits await those who breathe new life into their business intelligence strategies.
The Digital Divide
Technology at the helm in the Volvo Ocean Race
Predictive analytics, pervasive communications, and intelligent systems played a key role in the around-the-world Volvo Ocean Race.Data in the Digital Age
The eye-opening new world of alternative investor data
The emerging alternative data category, which includes things as diverse as mobile location visit data and corporate air travel data is growing in popularity. Investors and others watching companies in auto, retail and other industries have begun incorporating these unique data sets into the pools of data they use to inform investment decisions. Here's why sophisticated investors are going alternative.
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How to get started with predictive analytics
Cast aside your doubts and gain the ability to view and act upon future business needs and opportunities.
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The 5 best self-service BI tools compared
Domo vs. Power BI vs. Qlik Sense vs. QuickSight vs. Tableau: Self-service business intelligence has become the go-to tool for agile, fluid business decisions.
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How AI is reshaping IT operations
IT organizations are adopting AI-based tools to improve support, optimize infrastructure, and predict system breakdowns, freeing up staff for higher-value tasks.
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The pros and cons of outsourcing data analytics
Organizations are increasingly tapping service providers to glean insights from their data. Here are the benefits and risks of analytics outsourcing.
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Martech spending in 2018: What CIOs need to know
From CRM and business intelligence to chatbots and automation, marketers have spending plans across the marketing tech stack.
Innovation and Transformation
Reality check: the complexities of mapping the world in 2018
Although it’s widely believed that high-quality data is readily available and accessible, that is not always the case – it is more common, however, in regions with three common attributes. Dan Adams, Vice President of Data Product Management, Pitney Bowes explains the evolving nature of data and more specifically, data visualization’s impact on business purchases.
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The future of manufacturing is digital
Forward-thinking manufacturers are moving beyond building great products, undertaking wide-ranging digital transformations to deliver new services and enhanced customer experiences.
The Data Economy
Migrating data to the cloud: back to the future?
With real insights on the readiness of your data to move to the cloud, and a cloud-native catalog ready to manage it, you can accelerate migration with both confidence and control.
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AI-powered data analytics: Inside this transformative trend
Real-world AI data projects, based primarily on machine learning, are impressive and largely successful. Some CIOs see AI as the most significant trend in IT.
CDO at the Center
What can machine learning do for your business right now?
As a few companies race to monetize the kind of machine learning that focuses on teaching robots to behave more like humans, many companies are grappling with how to leverage artificial intelligence and smart machines.
The Digital Climb In IT
How to overcome the bottlenecks between data lakes and analytics for customer engagement
Create the complete view of the customer, and engage in real time through the best channels.
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Golden State Warriors shoot to augment fan experience with digital tech
The NBA's defending champions are using chatbots, augmented and virtual reality to bolster fan engagement. Now they're sifting through fan data to better target them with merchandise, tickets and other offers.
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12 data science mistakes to avoid
Well-managed analytics initiatives can reap organizational gold. But succumb to one of these common mistakes, and your data science operations can quickly go wrong.
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Best free data analytics tools, 2018
Data analytics software doesn’t have to cost a lot to be effective. These free tools can help businesses uncover new insights and draw valuable predictions from various data sources.
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7 ways to embrace shadow IT and win
Shining a light on shadow IT can reveal potentially useful and productive technologies. Here's how to meet employees' hidden needs — reliably and securely.
Bone of Contention
5 imperatives for CIOs in this ‘measure everything’ era
As a CIO, the only constant is change, new requirements, new demands and less budget. This article looks at the factors a successful CIO will need to embrace to be successful in this new age of instrumentation where everything has a digital heartbeat and the ultimate success or failure of the company rests on the CIO.
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AI in the supply chain: Logistics gets smart
Interest in machine learning and AI for SCM is increasing as companies envision a more predictable, automated future for logistics and distribution.
Agile Innovations in Data Management
Assess before you leap
Organizations are ensuring their enterprise data management initiatives with proper data governance.
Engineering an Intelligent Enterprise
5 enterprise trends that will drive digital transformation
Over the next year, the traditional enterprise will become the intelligent enterprise – able to detect regulatory, technological, market and competitive challenges and proactively turn them into business successes or opportunities.
Data in the Digital Age
Toys 'R' Us shopper data insights can give toy makers and retailers an advantage
Toys ‘R’ Us is shutting its doors, meaning consumers will begin looking elsewhere for their toy needs. Meanwhile, retailers of all shapes and sizes are clamoring to grab Toys 'R' Us’ market share. Location data could uncover insights into who could win the “toy wars.” Location affinity data and analysis gives us clues and could be used by the Walmarts, Amazons and Disney Stores of the world to make smarter decisions about how they approach tomorrow's toy market.
Weathering The Data Storm
Weather data + business data = optimized risk analysis
Gone are the days of relying on weather data alone to increase your operational decision-making. Instead, the most successful companies are merging weather data with other information to innovate the way they analyze risk and reward.
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