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IDC MarketScape: Evaluating 12 leading enterprise performance management (EPM) vendors
Enterprise Performance Management has emerged as one of the fastest-growing subsets of the big data and analytics market. EPM software measures, analyzes and optimizes financial performance management, planning, forecasting and...
The hot market for data science and analytics
The value of improved data analytics, integration and visualization has surged in importance in recent years, highlighted by many recent acquisitions of companies in the space. CIOs should prioritize team education, modern toolsets...
3 fundamentals for supercharging your data strategy
Modern enterprises are swimming in data. How can they turn that data into a business asset and win buy-in from the organization? It takes a bold strategy and attention to the fundamentals, experts say.
AI helps Land O' Lakes churn data into sales
The Fortune 500 dairy giant is leveraging data and artificial intelligence to optimize pricing, target sales, and forecast future demand.
Transforming data with Apache Spark
Spark is the ideal big data tool for data-driven enterprises because of its speed, ease of use and versatility. It will help you understand your data quickly and help you make informed decisions faster.
Companies are gaining clarity about their digital vision
More executive committees say they understand how digital impacts their business strategy.
15 best data science bootcamps for boosting your career
Whether you’re a recent grad, seasoned IT pro or someone looking to make a career change, these bootcamps will set you on the right path for a career in data science.
Big data challenges impacting data-driven business goals
IT leaders need to understand the opportunities big data presents so they can overcome the various challenges and remain competitive in the growing data-centric economy.
8 factors shaping the future of big data, machine learning and AI
AI and machine learning combined with ever-increasing amounts of data are changing our commercial and social landscapes. A number of themes and issues are emerging within these sectors that CIOs need to be aware of.
5 ways IBM Cognos Analytics is transforming business
IBM's Cognos Analytics has integrated the artificial intelligence capabilities of IBM Watson Analytics. Here’s how five organizations are using Cognos Analytics to transform their operations.
The 12 dark secrets of data science
From hidden costs to highly suspect conclusions, data science is not without its detractions and limitations — despite the ongoing hype.
Anheuser-Busch taps single source for data analytics
The world’s largest brewing giant has a new data management strategy, the main ingredients of which are a single source for data and the cloud.
For Bayer Crop Science, decision science breeds success
Bayer Crop Science is bringing machine learning and artificial intelligence to every aspect of its business, from logistics to genetic sequencing.
For Ginnie Mae, data analytics lends disaster relief
Disastrous hurricanes in 2017 spurred the Government National Mortgage Association to develop an analytics dashboard to mitigate loss exposure and forecast the financial impact of future disasters.
Heidelberg data platform transforms the printing press
The 150-year-old company’s interactive digital platform gives its industrial offset press customers real-time access to data about the service and performance status of their print shops.
5 reasons why data lakes are vital for startup analytics
Compared to more mature companies, early-stage startups have drastically different analytics needs. Data lake infrastructure can make things easier on them.
5 reasons why data-driven innovations fail
Make sure you understand some of the key mistakes that companies make when deploying data-driven products into the market.
Overcoming the hype around predictive analytics for better business outcomes
As data-driven solutions become the norm, enterprises need to know exactly what’s going on behind all those buzzwords.
The future of big data and AI boils down to one thing
When it comes to big data, analytics and AI, the value does not come from collecting the data, or even from deriving some insight from it — value comes from just one thing: action.
These 3 types of customer data platforms are not one and the same
A true customer data platform must integrate data from across functional and channel-specific silos into a single customer view that is accessible in real-time.
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