Published By: SRC,LLC
Published Date: Jun 01, 2009
Companies spend millions of dollars every year on building data warehouses, buying business intelligence (BI) software tools and managing their analytic processes in the hope of gaining consumer insight and winning market share. Yet, many companies fail to realize the full benefits of their technology investments because they are hamstrung by the layers of expertise and the complexity of technology tools needed to integrate various data warehouses and associated tools within their existing analytic environments. Since analysis is only as good as the accessibility, timeliness and accuracy of the information being analyzed, the interoperability of any data warehouse with any analytic environment is essential to achieving insightful, actionable analysis and making better decisions.
This report examines how two major players in the grocery, pharmacy and wholesale markets are leveraging loss prevention technology to centralize enterprise-wide data collection, analysis, and reporting to protect profits, reduce shrink and provide actionable insight across the organization from merchandising and planning to supply chain.
Achieving a 360-degree view of customers has become increasingly challenging as companies embrace omni-channel strategies, engaging customers across websites, mobile, call centers, social media, physical sites, and beyond.
Learn how software solutions in AWS Marketplace can automate data lake analysis, enabling self-service platforms for analysis that expand and enhance personalization while deepening customer understanding so you can spend more time acting on insights.
The rise of big data provides Modern Marketers with an unprecedented level of insights. But too often, it's easy to get buried by the data. We put together 40 Must-See Charts for Modern Marketers, offering analysis and intelligence today's marketers need to know across a range of disciplines from email marketing and lead management to social media and events.
Published By: Adverity
Published Date: Jun 15, 2018
In this whitepaper, we take a closer look at some of the biggest challenges facing e-commerce businesses, namely understanding your data in general and, more precisely, your customer acquisition costs (CAC).
It's full of inspiration, useful tips and actionable insights for you to step up your marketing game.
In order to reap the fruits from your data seeds, you have to make sure you tackle these five challenges full-frontal:
Knowing what data to capture
Understanding customer behaviour
Finding your technology solution
Ensuring analysis is impartial
Optimising website content - especially for your offline users
To reach a consumer with a message that is going to drive the most value for your organization, you have to understand what that consumer is looking for and what type of information will bring him further along the path of conversion.
The IBM DataPower Operations Dashboard provides the most robust solution in the marketplace for monitoring DataPower gateways and performing trouble-shooting & analysis. Administrators can view operational data with full-text search to immediately diagnose errors and highlight impact analysis, DevOps can view and troubleshoot their own DataPower services, and business owners can generate automated reports to meet SLA and compliance requirements without assistance from centralized IT.
With so much emphasis in the business world being placed on big data and analytics, it can be easy for midsize businesses to feel like they’re being left behind. These organizations often recognize the benefits offered by big data and analytics, but have a hard time pursuing those benefits with the limited resources available to them.
HubSpot has compiled over 50 marketing charts and graphs based on original research and data from a variety of sources, including analysis of over 2,500 business customers, surveys with hundreds of businesses responding, and analysis of the data in from the HubSpot Grader tools.
Decisions, decisions. They can make or break marketing success. Yet as customers and channels grow more complex, so does decision-making. As choices multiply, marketing becomes more challenging than ever.
The days when marketers could rely strictly on good judgment and business acumen are past. Technology for decision and process automation gives marketers a decided edge in making spot-on decisions that match individual customers to the best message, on a scale of millions.
The process of Decide builds on customer data collection and analysis, and positions your organization for profitable engagement with your Generation C connected customers. It plays an essential role in Enterprise Marketing Management (EMM) along with the processes of Collect, Analyze, Deliver and Manage.
Published By: Marketo
Published Date: Feb 07, 2017
Read this complimentary copy of the Gartner Magic Quadrant for Digital Marketing Hubs, and find out why Marketo was named a leader based on completeness of vision and the ability to execute.
As a digital marketing hub, Marketo allows marketers to think beyond email campaigns and address customers personally and consistently as individuals through a variety of contexts and formats. Digital marketing hubs, like Marketo, unify disparate marketing data and processes to drive acquisition, engagement, conversion and transaction across complex customer journeys.
The full report includes:
Market evaluation and analysis of 22 vendors
Insights for selecting a vendor based on your organization's requirements
Opportunities and challenges faced when deploying digital marketing hubs
Download the report to learn about these topics and more.
Email marketers should be leveraging the use of Recency, Frequency, Monetary (RFM) analysis to uncover optimal segments and untapped opportunities within their email marketing program. Email marketing provides real time data about subscriber behavior, which is ideal for RFM analysis. In order to use each metric fully we will focus on the undeniable power of Recency first.
Voice of the customer (VOC) is a market research technique defined as the process of capturing a customer's expectations, preferences and aversions. Ideally, Voice of the Customer analysis produces a detailed set of customer wants and needs that is prioritized by company objectives or strategic goals. What has changed significantly is the volume and number of data sources and channels, inclusive of mobile device, kiosk, POS and tablet that are able to feed into the analysis of contextual VOC information via enabling VOC software, services and technologies.
Since 2001, with the introduction of software tools for EHS and sustainability management, NAEM has been tracking the growth of the marketplace, the use of these tools within companies and the trends associated with software-supported data management.This biannual Buyers Guide report is a unique benchmark, designed to inform the software selection process, and to identify emerging priorities among software shoppers. It provides a peer perspective into many common questions asked, including in-depth information on the following topics:
• Existing system maturity
• Business objectives
• Desired software capabilities
• Peers spending and expected maintenance costs
This detailed purchasing analysis provides current shoppers with a past purchasers’ perspective of expectations vs. reality.
As a sponsor of the report, Dakota Software is pleased to provide this complimentary copy.
Financial services businesses face unprecedented market challenges. Disruption from Fintech firms, increased local and international regulation, geo- political upheavals and wavering customer loyalty. The need to fully understand the market, to innovate, to reduce costs and be more competitive has never been greater, and this is where AI can help.
According to one fintech research company, by 2030 the financial services sector could reduce operational costs using AI, by as much as 22%. It suggests that will equate to around $1 trillion in efficiencies. So, from a purely operational point of view, doing nothing is not really an option for companies that want to remain competitive.
Today, financial services firms across the board need to rejuvenate customer experience to protect against client attrition, and protect those customers against risk. While data analysis and visualization are key to making sense of data, the fundamental challenge for all businesses is building an infrastructur
Data drives decision making across the enterprise. For sales executives, it’s critical to have
information about where to focus outreach and understand what potential customers are looking
for. But having data for its own sake won’t do much good. With advanced tools and a customerfocused mindset, companies are learning things about prospects never before possible. Thanks to
advanced insights and machine learning that process algorithms and crunch millions of data points,
new purchase patterns and propensity models are emerging to guide sales leaders as to what will
work best for their business.
Read this paper to learn how to act on advanced insight in the sales and marketing process.
The enormous potential of new data tools and analysis
Resources needed to act on the insight
Strategic and operational recommendations