Feed: Domo Blog. Author: Julie Wilding. In order to understand and optimize their performance, sales professionals need access to quality, up-to-date data from their customer relationship management (CRM) platform. With the right information, sales managers can identify their most effective employees, sales representatives can project their future revenues, and the entire department can make smarter, faster decisions that maximize profits. Unfortunately, gathering, and analyzing data from programs like Salesforce can be a time-consuming process, particularly in light of all the other work sales professionals have on their plate. Every hour a salesperson spends cobbling together CRM data is an hour ... Read More

Feed: Domo Blog. Author: Julie Wilding.  / Conquering Retail’s 6 Biggest Cross-Channel Challenges For retailers operating across multiple channels today, the deluge of data received is a blessing and a curse. The upside? Retailers can know more about their channels, customers, supply chain, and operations than ever before. The rub? While most retailers are employing numerous systems to collect this data, it’s just amassing in information siloes without giving insights into better engaging their customers or optimizing their business. Here are retail’s 6 biggest cross-channel challenges in the era of infinite data: The brand experience differs depending on the channel. Omnichannel ... Read More

Feed: Domo Blog. Author: Brent Dykes. In some cases, data distrust occurs not because of actual inaccuracies but perceived ones. When new data is introduced, it may be inconsistent with pre-existing data and beliefs, which may lead to cognitive dissonance. When people experience inconsistency (dissonance) such as conflicting information, they are motivated to dismiss the new evidence as erroneous rather than questioning their original data or opinion. Rather than automatically assuming you have a data quality issue, you may have a change management issue instead. How to overcome Data Distrust: Evaluate whether data issues are isolated, widespread or imagine Review ... Read More

Feed: Domo Blog. Author: Julie Wilding. For retailers, utilizing their big data has become synonymous with business success. 93% percent of businesses rely on data to help them do their jobs effectively, according to a study conducted by DOMO. The trouble is, while many have a data-driven dashboard in place, they don’t necessarily have access to the information that’s most valuable to their organization and most likely to impact their bottom line. To be truly effective, retailers must be able to connect metrics and key performance indicators (KPIs) with critical objectives like increasing revenue and improving social sentiment. We’ve identified ... Read More

Feed: Domo Blog. Author: Julie Wilding. In an increasingly connected and competitive world, it’s almost impossible for a business to succeed without an effective, engaging website. Today, companies of all shapes and sizes rely on their owned properties to achieve a variety of ends—from spreading awareness to generating revenue, among others. While marketers and sales managers receive a wealth of data from their sites, it is nonetheless difficult for them to determine whether each site’s performance is actually optimized. And while big data provides a great deal of insight into how people engage with websites, the sheer number of metrics ... Read More

Feed: Domo Blog. Author: Julie Wilding. If you’re a retailer today, you probably already have a ton of data coming in from every corner of your business: point of sale, supply chain, e-commerce, and social media. Seeing your data coming in but not knowing how to use it can be seriously stressful. What’s the point of all that data if it isn’t helping move your business forward? You just need to know how to use each type of basic data for what it can tell you. Here’s a quick rundown of the ways your already-existing data can revolutionize your business ... Read More

Feed: Domo Blog. Author: Brent Dykes. With the abundance of data flowing into organizations these days, the next challenge isn’t usually how to acquire more data but how to translate it into something meaningful—informed actions that lead to higher revenues, lower costs, increased productivity, greater customer loyalty and so on. As traditional businesses still struggle with how to best capitalize on their data, many of today’s startups have data engrained in their DNA. In a 2015 Capgemini study, 58% of senior leaders expected to face greater competition from these data-enabled startups. However, whether you’re an established player or data-savvy newcomer, ... Read More

Feed: Domo Blog. Author: Julie Wilding. Today’s digital marketers are operating in more channels than ever before, combining social media, search, mobile, and other tactics to win customers in a highly competitive marketplace. But while this flexibility allows ecommerce brands to engage their target audiences in a variety of settings, it can also make it difficult for them to measure their effectiveness. In multi-channel marketing, each buying platform delivers its campaign results in a separate report. As such, many ecommerce firms wind up evaluating each channel’s performance in isolation. Lacking a holistic view of how their marketing mix influences overall ... Read More

Feed: Domo Blog. Author: Julie Wilding. For retailers, nothing is more frustrating than when an unforeseen weather event ruins their carefully planned staffing and inventory strategies. If you work in retail management, you’ve almost certainly encountered this scenario before. Perhaps a rainstorm discouraged customers from participating in the big weekend sale you’d been planning for months. Or maybe an unseasonable bout of great weather left you unable to meet demand for sunglasses, sunscreen, or wide brimmed hats. In both cases, you’d have been a lot better off if you’d known ahead of time how the weather was going to affect ... Read More

Feed: Cloudera Engineering Blog » Hadoop. Author: Jon Zuanich. Guest re-post from Phil Whelan, a large-scale web-services consultant based in Vancouver, BC. Here I demonstrate, with repeatable steps, how to fire-up a Hadoop cluster on Amazon EC2, load data onto the HDFS (Hadoop Distributed File-System), write map-reduce scripts in Ruby and use them to run a map-reduce job on your Hadoop cluster. You will not need to ssh into the cluster, as all tasks are run from your local machine. Below I am using my MacBook Pro as my local machine, but the steps I have provided should be reproducible on ... Read More