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3 Ways to Break Through Barriers to Omnichannel Success

Published By: ttec     Published Date: Oct 16, 2019
Omnichannel, in its most complete definition, means taking into account individual customer needs and perspectives to create seamless customer experience within and across multiple channels. The customer is in control, which creates amazing customer experiences and reduces friction for users and the business. With a true omnichannel experience, each conversation is a continuation from the last and customers don’t have to reiterate their problems multiple times to multiple people. It provides better insights into a customer’s next action, and it enables more personalized product recommendations and proactive outreach. Through technology and analytics, brands can improve their operational efficiency, optimize their channel mix, and take advantage of lower-cost channels, all while enabling a better experience for their customers.
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ttec

REAL-TIME ANALYTICS The Key to Unlocking Customer Insights & Driving the Customer Experience

Published By: SAS     Published Date: Oct 14, 2019
What’s the best way for businesses to differentiate themselves today? By delivering a unique, real-time customer experience across all touch points—one that is based on a solid, connected business strategy driven by data and analytics insights. We believe brands that gain the ultimate analytical advantage—by unifying the analytics life cycle from data to discovery to deployment—will also gain the ultimate competitive advantage through brand preference.
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SAS

Data trends redefine leading brands

Published By: Adobe     Published Date: Oct 14, 2019
Companies that put data at the centre of their business gain better insights and deliver more effective marketing. Data centricity at an organisational level is the priority for larger companies, mindful of the opportunities afforded by more scientific commercial decision-making and data-driven marketing. A focus on data alone in the context of customer analytics is not enough, however. Companies require insights from their data to deliver first-class customer experiences that give them a competitive advantage. Our global survey of more than 1,000 business respondents shows that companies are rightly focused on activities powered by actionable insights as opposed to focusing on data for its own sake. More effective segmentation and targeting (65%), and better marketing attribution (52%), are the top data-related priorities for marketers, while ‘technologists’ (including analysts, ecommerce, and IT professionals) are primarily focused on making their organisations more data-centric (50%
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Adobe

Provide Trusted Data to the Business and Modernize Analytics

Published By: AWS     Published Date: Oct 07, 2019
Hear from speakers: Danielle Greshock, Sr. Manager, Amazon Web Services, Inc. (AWS) Vincent Lam, Head of Cloud Product Marketing, Talend Andy McPhee, Data & Analytics Engineering Director, AstraZeneca
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AWS

Unified Data Protection for Hybrid IT: Part 2

Published By: Forcepoint     Published Date: Oct 03, 2019
In part two of the Unified Data Protection for a Hybrid IT World webinar series, we take a deeper dive into use cases around the challenges that businesses are facing today and how Forcepoint’s solutions meet your data protection needs. Understanding the location of all data, whether at-rest, in-use, or in motion across on-premises and the cloud is essential to keep data safe and secure. This enables companies to identify their riskiest users and behaviors. With Forcepoint, you can automate the identification, classification, and protection of critical data. This webinar explores how companies should rethink data security. Protecting critical data and intellectual property requires a risk-adaptive, dynamic approach, including these three main components. Analytics-Driven Visibility – to gain oversight everywhere users work and collaborate Risk-Adaptive Controls – to eliminate the complexity of policy enforcement Intelligent & Dynamic Automation – to build a better understanding of c
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Forcepoint

Can Analytics Help HR Be a More Strategic Partner?

Published By: Workday     Published Date: Sep 30, 2019
Be a more strategic partner to the business with data-driven HR analytics. Follow these five steps to: Streamline data processes Develop key metrics to answer essential business questions Share timely HR insights across the organization
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workday inc (wday), career development, employee engagement, human capital management, human resource management
    
Workday

Modernize Your Sap Implementation — Make Real-Time Business a Reality

Published By: Pure Storage     Published Date: Sep 27, 2019
For most enterprises, 60 to 73 percent of enterprise data goes unused for business-intelligence (BI) and analytics efforts, according to Forrester.1 Data that is out of sight or out of date creates a competitive blind spot for businesses today. With customer demands, economic changes, and new trends and technologies evolving at a dizzying pace, staying relevant — not to mention competitive — requires that businesses access all available BI to be ?exible and agile. Businesses must have quick access to data that is comprehensive, accurate, current, and consumable in real time. A traditional infrastructure, where the online analytical processing (OLAP) platform and the online transaction processing (OLTP) platform are separate, makes ?exibility and agility difficult to achieve. When a business has accurate, current data in hand, it can make real-time data-driven business decisions so that it can stay relevant and competitive, or even be a disruptor in its industry. One way that a busines
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Pure Storage

A New Breed of Analytics

Published By: Oracle     Published Date: Sep 26, 2019
Data is the lifeblood of business success, but has been trapped in silos for too long. To unleash its value, analytics must transform from merely reporting on data to providing fuel for data-driven marketing.
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Oracle

2019 Gartner Magic Quadrant for Data & Analytics service Providers, Worldwide

Published By: Group M_IBM Q4'19     Published Date: Sep 26, 2019
IBM has been named a Leader in Gartner's Magic Quadrant for Data & Analytics Services. According to the report, by 2022, 90% of corporate strategies are expected to view information as a critical enterprise asset, and analytics as an essential competency. Data and analytics service providers can help leaders accelerate and transform their ability to deliver data-driven insights and innovation solutions to businesses. Get complimentary access to Gartner's latest Magic Quadrant report for Data & Analytics Service Providers.
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Group M_IBM Q4'19

The Forrester Wave™: Customer Analytics Solutions, Q2 2018

Published By: Adobe     Published Date: Sep 23, 2019
Forrester names Adobe as a Leader in customer analytics, according to the Forrester Wave: Customer Analytics Solutions, Q2 2018 report. SUPPORTING CONCEPTS: • We’re a Leader. But we won’t stop there. Adobe Analytics provides a superior product, executive vision, and strategy. We understand the needs of today’s marketers and customer insights professions, while staying ahead of the curve on future analytics trends. • Adobe Analytics fuels insight-driven customer experiences. Adobe has turned its mantra of “Make Experience Your Business” inward, by developing a marketer-friendly solution that doesn’t skimp on advanced analytical functionality. • Adobe Analytics excels at real-time conversion of insights into action, superior usability, and AI-powered customer journey analytics. • Adobe Analytics’ capabilities, such as Virtual Analyst, powered by Adobe Sensei, use artificial intelligence and machine learning to identify anomalies, contributing factors, and segment differences. What
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Adobe

The 20 Attributes that lead to business success

Published By: Adobe     Published Date: Sep 23, 2019
Why data-driven businesses stand out from the crowd. Why Should the Target Audience Care? Enterprises need to become more data-driven by using more mature analytics tools to stand out from the crowd Supporting Concepts Smart, effective customer analytics tools helps organizations reap the rewards of increased customer satisfaction and brand loyalty. Neglecting advances in customer analytics technology could seriously impact a company's ability to compete in the future marketplace. Where do your customers and prospects sit on the customer analyticsmaturity scale? Are they leaders or are they laggards? Read "Customer Analytics: The 20 Attributes that Lead to Business Success" for insights into: • the key drivers needed within an organisation that help grow customer analytics maturity • why companies using paid analytics solutions experience more tangible benefits than those using free analytics • how to distinguish customer analytics leaders from laggards
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Adobe

Breathe new life into the customer journey

Published By: Adobe     Published Date: Sep 23, 2019
Like the oxygen we breathe, journey analytics brings life to the customer behind those devices, over time getting to know their favorite pastry choice, when they’re most likely to buy gas, and how long they stay online while in the station’s café. WHY SHOULD THE TARGET AUDIENCE CARE? Business struggle to gain a holistic customer view — the skills to identify actionable insights from multichannel data are in short supply. If they could gain a holistic view of customer attributes and behaviors, they could make sure they get the right content at the right time. SUPPORTING CONCEPTS If you want your customers to enjoy seamless, personalized experiences, you need to treat them like people. That means marketing to the person — not the device. When you know a customer’s interests, wants, and needs — perhaps even before they do — you’ve succeeded at becoming a true experience business. For some, this may require a shift from analytics as a tool to analytics as a way of life. It may also m
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Adobe

Refactoring Analytics for the Cloud

Published By: SAS     Published Date: Sep 05, 2019
Organizations are charging ahead with investments in cloud and analytics to deliver agility, scalability and cost savings. With computing power advancements and continuous growth of data, cloud provides the elastic workloads and flexibility required for modern business. However, the environment of flexibility and choice that cloud provides also creates complexity and challenges. In this white paper, learn how organizations are applying expertise and using the latest methods to move analytics to the cloud, including: • Why are organizations moving analytic work to the cloud? • What are the key challenges and misconceptions? • How do IT leaders provide choice while maintaining control?
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SAS

SAS® in the Open Ecosystem

Published By: SAS     Published Date: Sep 05, 2019
Envision this situation at a growing bank. Its competitive landscape demands an agile response to evolving customer needs. Fortunately, analytically minded professionals in different divisions are seeing results that positively affect the bottom line. • A data scientist in the business development team analyzes data to create customized • experiences for premium customers. • A digital marketer tracks and influences the customer journey for prospective • mortgage customers. • A risk analyst builds risk models for the bank’s loan portfolios. • A data analyst examines data about local customers. • A technical architect defines a new system to protect bank data from internal and • external cyberthreats. • An application developer builds a new mobile app for online customer portfolio • management. Between them, these employees might be using more than a dozen packages for analytics and data management.
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SAS

Delivering Hybrid Analytics at the Speed of Business: IBM Integrated Analytics System

Published By: Group M_IBM Q3'19     Published Date: Sep 04, 2019
This white paper considers the pressures that enterprises face as the volume, variety, and velocity of relevant data mount and the time to insight seems unacceptably long. Most IT environments seeking to leverage statistical data in a useful way for analysis that can power decision making must glean that data from many sources, put it together in a relational database that requires special configuration and tuning, and only then make it available for data scientists to build models that are useful for business analysts. The complexity of all this is further compounded by the need to collect and analyze data that may reside in a classic datacenter on the premises as well as in private and public cloud systems. This need demands that the configuration support a hybrid cloud environment. After describing these issues, we consider the usefulness of a purpose-built database system that can accelerate access to and management of relevant data and is designed to deliver high performance for t
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Group M_IBM Q3'19

IBM Integrated Analytics System: Do Data Science Faster

Published By: Group M_IBM Q3'19     Published Date: Sep 04, 2019
In the last few years we have seen a rapid evolution of data. The need to embrace the growing volume, velocity and variety of data from new technologies such as Artificial Intelligence (AI) and Internet of Things (IoT) has been accelerated. The ability to explore, store, and manage your data and therefore drive new levels of analytics and decision-making can make the difference between being an industry leader and being left behind by the competition. The solution you choose must be able to: • Harness exponential data growth as well as semistructured and unstructured data • Aggregate disparate data across your organization, whether on-premises or in the cloud • Support the analytics needs of your data scientists, line of business owners and developers • Minimize difficulties in developing and deploying even the most advanced analytics workloads • Provide the flexibility and elasticity of a cloud option but be housed in your data center for optimal security and compliance
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Group M_IBM Q3'19

Forrester - Why Data Center Modernization Is Critical To Business Success

Published By: Dell EMC Storage     Published Date: Sep 03, 2019
The digital era has ushered in a proliferation of data that powers modern businesses. When leveraged properly, organizations are seeing the potential of data to drive better outcomes across all aspects of their business. Using data to support different workflows, analytics, and activities transforms it into data capital — a digital asset that will drive value for the business. The extent to which an enterprise aligns its organization around this data capital mindset — in both the way they use data and the way they invest in data technology — can have lasting impacts on the success of the business. In February 2019, Dell EMC and Intel commissioned Forrester Consulting to evaluate whether the ability to harness and apply data and analytics at every opportunity is fast becoming a prerequisite for success. To test this, Forrester conducted a global survey of 516 IT decision makers. The survey found that companies with more mature data capital practices — leveraging more data types, managin
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Dell EMC Storage

Threat Landscape - How to predict, spot and mitigate threats

Published By: Cisco Umbrella EMEA     Published Date: Sep 02, 2019
"We live and surf in a cyber world where attacks like APT, DDOS, Trojans and Ransomware are common and easy to execute. Domain names are an integral part of any business today and apparently an integral part of an attacker's plan too. Domain names are carriers of malwares, they act as Command and Control servers and malware's ex-filtrate data too. In today's threat landscape - predicting threats, spotting threats and mitigating them is super crucial.. This is called Visibility and Analytics. Watch this on demand session with our Cisco cloud security experts Shyam Ramaswamy and Fernando Ferrari as they talk about how Cisco Umbrella and The Umbrella Research team detect anomalies, block threats and identify compromised hosts. The experts also discuss how effectively Cisco spot, react, filter out IOC, block the network communications of a malware; identify and stop a phishing campaign (unknown ones too). "
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Cisco Umbrella EMEA

MicroStrategy 2019™ The Platform For The Intelligent Enterprise

Published By: MicroStrategy     Published Date: Aug 28, 2019
Over the last decade, the enterprise analytics landscape has dramatically transformed. Vendors have come and gone, and platforms have continually expanded their offerings to include new functionality and keep pace with the demands of the businesses they serve. Originally envisioned as an IT-centric tool for enterprise reporting, analytics today has evolved into a business solution—empowering a range of users across every line of business, including front-line employees, field personnel, and executives. The rise of self-service analytics over the past decade has played a key role in promoting a data-driven mindset within every business function. However, this practice is limited to a skilled few. The vast majority of business professionals lack the time, analytical skills, or inclination to conduct their own analyses, and fail to effectively use analytics on a day-to-day basis. The result? Despite decades of investments, BI adoption at most organizations remains at 30%. The failure of e
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MicroStrategy

10 ENTERPRISE ANALYTICS TRENDS TO WATCH IN 2019

Published By: MicroStrategy     Published Date: Aug 21, 2019
To survive and thrive in an era of accelerating digital disruption, organizations require accessible data, actionable insights, continuous innovation, and disruptive business models. It’s no longer enough to prioritize and implement analytics – leaders are being challenged to stop doing analytics just for analytics’ sake and focus on defined business outcomes. In addition, these leaders are being challenged to bring predictive capabilities and even prescriptive recommended actions into production at scale. As AI and accelerated growth and transformation become top of mind, many enterprises are realizing that their current segmented analytics approach isn’t built to last, and that real transformation will require proper endto- end data management, data security, and a data processing platform company-wide. The year 2019 will be a turning point for many organizations that realize being data-driven doesn’t guarantee future success.
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MicroStrategy

2018 Global State of Enterprise Analytics Report

Published By: MicroStrategy     Published Date: Aug 21, 2019
Ready or not, the future is here. For enterprise organizations, it must be a data-driven one. Whoever can use technology to transform the customer experience, and be the first to discover and deliver on new business models, will be the disruptor. Those who can’t, the disrupted in this period known as the “era of Digital Darwinism.” The future belongs to the Intelligent Enterprise which anticipates constantly evolving regulatory, technological, market, and competitive challenges and turns them into opportunity and profit. It delivers a single version of the truth and agility. It connects to any data and distributes reports to thousands. The Intelligent Enterprise goes beyond business intelligence, delivering transformative insight to every user, constituent and partner. Are most organizations there yet? As brands hone and focus their 2020 (and even 2030) vision, MicroStrategy has surveyed 500 enterprise analytics professionals on the state of their organization’s analytics initiatives.
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MicroStrategy

Forrester - Why Data Center Modernization Is Critical To Business Success

Published By: Dell EMC Storage     Published Date: Aug 15, 2019
The digital era has ushered in a proliferation of data that powers modern businesses. When leveraged properly, organizations are seeing the potential of data to drive better outcomes across all aspects of their business. Using data to support different workflows, analytics, and activities transforms it into data capital — a digital asset that will drive value for the business. The extent to which an enterprise aligns its organization around this data capital mindset — in both the way they use data and the way they invest in data technology — can have lasting impacts on the success of the business. In February 2019, Dell EMC and Intel commissioned Forrester Consulting to evaluate whether the ability to harness and apply data and analytics at every opportunity is fast becoming a prerequisite for success. To test this, Forrester conducted a global survey of 516 IT decision makers. The survey found that companies with more mature data capital practices — leveraging more data types, managin
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Dell EMC Storage

5 Steps to Strategic Spend Management

Published By: SAP Concur     Published Date: Aug 07, 2019
"Spend Management is the planning, process, and system of managing business dollars to positively affect the production of products and services. Spend management usualy includes processes relating to procurement, supply chain management, and outsourcing. Optimal spend management relies on the ability to understand and control company spend through automation tools and analytics. Steps to Strategic Spend Management All CFOs are concerned with how their company is spending its money. However, this is of particular concern for CFOs of small to mid-size businesses who need to manage their cash flow effectively to survive. To survive and maintain a competitive advantage, companies need to be strategic in their spend management and identify ways to invest wisely to meet current demands and fuel growth for the future. Expense and invoice management can no longer be viewed as simply a cost center. Download this white paper to explore five initiatives that can help guide your company towa
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SAP Concur

IDC Report: Business Value of Stripe Payments Platform

Published By: Stripe     Published Date: Aug 06, 2019
Digital commerce is enabling businesses to rethink what they sell, how they sell, and where they sell. Fickle consumer and business buyers have come to expect an intuitive and instantaneous checkout process with multiple payment options. However, aging financial infrastructure and complex interdependencies between numerous parties make it difficult and expensive to accept payments online seamlessly and across markets and currencies. Stripe meets these challenges with an API-based payments platform that abstracts away the complexities around payment gateways, acquiring banks, and credit card networks. To understand the impact of Stripe’s products on processing online payments, IDC interviewed Stripe customers and surveyed hundreds of organizations around the world about how they currently process and manage online payments. KEY FINDINGS • Many organizations are using Stripe as a foundational platform for their online businesses, with many of those also using Stripe Connect to run thei
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payment security, payment processing, payment solutions, business analytics, platform as a service (paas)
    
Stripe

Forrester: Data Warehouse Automation Platforms Help Close the Data-to-Insights Gap

Published By: Google     Published Date: Aug 05, 2019
"Agile BI requires more than just agile dashboards. True agility means prototyping data models quickly so business users can continuously iterate on them. Application development and delivery professionals working on BI initiatives should consider adding DWA platforms to their BI toolbox. This Forrester report discusses how seven data warehouse automation vendors bring Agile options to all phases of BI/analytics application development. Read more to find out how these platforms help facilitate shorter development cycles."
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data warehouse automation, forrester, agile solutions, business intelligence, analytics
    
Google
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