Most apps are dead boring. Sensors can help add some zing. Sensors are data collectors that measure physical properties of the real-world such as location, pressure, humidity, touch, voice, and much more. You can find sensors just about anywhere these days, most obviously in mobile devices that have accelerometers, GPS, microphones, and more. There is also the Internet of Things (IoT) that refers to the proliferation of Internet connected and accessible sensors expanding into every corner of humanity. But, most applications barely use them to the fullest extent possible. Data from sensors can help make your apps predictive to impress customers, make workers more efficient, and boost your career as an application developer.
Forrester recently surveyed 148 technology, marketing, and business professionals with decision-making roles in digital experience (DX) delivery technologies, and asked them about their strategies for the coming 12 months. In our recently published report, one of the more interesting trends we found was the “people” issues remain top of mind for most organizations. Our qualitative and inquiry data backs this up, as we often here that people, process, and cultural issues (not technology issues) have stifled progress towards delivering great digital customer experiences.
Our survey found that organizations were concerned about people issues such as:
Dividing up work between different groups. Digital experience has moved from a purely marketing centric function, to a decidedly cross business issue that touches everyone in the organization. This includes technology management, business, marketing, and sales groups. But this cross-business shift toward digital experience delivery presents significant challenges around coordinating work between various groups. Accordingly, this was the number one people-related pain point: 60% of respondents said dividing roles and responsibilities between marketing, technology management, and the business was their top challenge.
Management consultants and business intelligence, analytics and big data system integrations often use the terms accelerators, blueprints, solutions, frameworks, and products to show off their industry and business domain (sales, marketing, finance, HR, etc) expertise, experience and specialization. Unfortunately, they often use these terms synonymously, while in pragmatic reality meanings vary quite widely. Here’s our pragmatic take on the tangible reality behind the terms (in the increasing order of comprehensiveness):
Fameworks. Often little more than a collection of best practices and lessons learned from multiple client engagements. These can sometimes shave off 5%-10% of a project time/effort mainly by enabling buyers to learn from the mistakes others already made and not repeating them.
Solution Accelerators. Aka Blueprints, these are usually a collection of deliverables, content and other artifacts from prior client engagements. Such artifacts could be in the form of data connectors, transformation logic, data models, metrics, reports and dashboards, but they are often little more than existing deliverables that can be cut/pasted or otherwise leveraged in a new client engagement. Similar to Frameworks, Solution Accelerators often come with a set of best practices. Solution Accelerators can help you hit the ground running and rather than starting from scratch, find yourself 10%-20% into a project.
Solutions. A step above Solution Accelerators, Solutions prepackage artifacts from prior client engagements, by cleansing and stripping them of proprietary content and/or irrelevant info. Count on shaving 20% to 30% off the effort.
How do you start to narrow your choices when you are looking for the right customer service solution for your group. Start by asking whether your team is large or small, and whether your needs are primarily phone based, or whether you support your customers over a variety of voice, digital and social communication channels.
During the past five years, the customer service capabilities leading vendors has matured as vendors have focused on solidifying the foundational building blocks of customer support capabilities. Vendors have folded new technologies such as social capabilities, business process management, decisioning, business intelligence, and mobility into their solutions to allow organizations to offer more-personalized customer service experiences. Vendors have also focused on different buyers – those that have to support enterprise-size teams who respond to inquiries primarily over the phone channel, and those that have to support small to mid size teams who support multichannel operations.
State-owned enterprises (SOEs) in China face a quickly changing competitive landscape — one that their existing technology strategies can’t keep up with. To address this challenge, organizations are migrating from earlier-generation BI architectures, technologies, and organizational structures to new models and approaches. My “Chinese State-Owned Enterprise Targets Improved Agility” report, scheduled to appear later this month, describes the experience of a typical large Chinese SOE, the China National Cereals, Oils, and Foodstuffs Corporation (COFCO), which leveraged a BI-led program to jump-start the transformation of its technology management capabilities.
COFCO is China’s largest supplier of agricultural and food products and services, including oils, rice, wine, tea, and various other products, and is expanding into real estate, shopping centers, and other industries. COFCO is a large B2B trader with many technology stakeholders, and its headquarters couldn’t quickly collect or analyze data from branches or business units, delaying the company’s response to and decisions about market changes. Major obstacles included siloed operations centers and business units; inconsistent data management rules that complicated centralized data governance; and other process and people challenges.
To address these issues, COFCO decided to redefine the position of technology management in the organization and review its technology agenda and planning. It evaluated and selected BI as the most compelling project to deliver quick business outcomes that would convince business executives to further invest in the transformation. Best practices that COFCO implemented include: