The importance of crisis management has never been greater. In today's business world, dealing with unexpected catastrophes necessitates robust, enterprise-wide plans and solution stacks. On one side, there are natural crises such as the proliferation of COVID-19 mutations.
In the past year, 1 in 2 searches were voice-activated.1 The data is hardly surprising given that 1 in 5 Americans owns a smart speaker2 and 72% of them use it daily.3
Each year, BI and analytics platforms deploy a host of new, powerful features to help organizations get better insights. 2021 has brought even more impressive features to fore as Forrester notes in their report, Now Tech: Augmented BI Platforms, Q2 2021, authored by Forrester VP, Principal Analyst Boris Evelson. However, traditional BI platforms are not enough in this age - organizations need an augmented BI platform. Augmented BI platforms utilize artificial intelligence to bring together data from all sources and integrated analysis that truly powers decision-making.
For the last couple of decades, dashboards have been the mainstay for business executives at the helm of decision-making. In most business settings, decision-makers pore through dashboards to unlock the answer to operational and growth inefficiencies. Those who have suffered at the hands of spreadsheets vouch for dashboards.
Closing deals takes enormous amounts of time and effort. But what if more than 66% of that time and effort goes into tasks that distract sales reps from selling?
It is logical to think that customer-centric organizations do better than their counterparts. Companies that can listen to their customers’ needs and react fast are the ones with a key advantage, and definitely stand out from the competition.
The secret to growing profitability? Optimize your sales model by identifying levers tailored to your business. Attracting the right buyer can be the hardest and the most expensive part of an automotive OEM’s acquisition strategy. With the rapidly-changing landscape, sales prospecting has become harder. By 2030, OEMs
Sales growth in manufacturing is driven by better intelligence - here’s how your business can access
In the last two decades, sales analytics has become a lighthouse that guides strategy for the manufacturing industry. Be it planning capital expenditure, product lines, or distribution channels, data-driven...
With the rampant spread of COVID-19, customer care leaders are taking unprecedented business
continuity actions to overcome the constraints primarily driven by the shortage of contact center
Not to forget, most organizations had formal “Business Continuity” and “Disaster Recovery” processes...
Are you too excited with the glimmer of dashboards? Most likely, you are already submerged in it, if you are reading this paper. Let’s therefore do some soul-searching and needs assessment. Let’s visualize logging to a cool BI and Analytics tool and seeing a screen full of colorful charts with a bunch of lines, bars, dots, bubbles, boxes, maps, and millions of data-filters and the ability to drill-down to infinity.
Today’s customer is more tech-savvy and informed than ever before. Data is available at his fingertips. He, therefore, expects the best service support and there is no excuse for poor customer support. The stakes are high in the contact center landscape. If a customer has had a bad experience, the chances are your enterprise will not only lose a customer but will face a loss of reputation too. 84% of businesses are aware of the significance of happy customer interactions.
Converting data into visuals has been a part of humanity since early days. Cavemen scrawled their stories on walls of caves and hunts. The earliest data table known to man was created in the 2nd century. The table involved astrological information to help with navigation. Understanding data arrangement was easier because of its visual structure. Fast-forward to a few years ahead. The Cartesian coordinate system – the X and Y axis graph, was the well-known format of data visualization. Rene Descartes created this is the 17th century.
In recent years, businesses across a wide range of industries are all facing a new element in their project structures: access to large amounts of data. However, with this sudden new wealth of information, many companies struggle to determine how to handle their data and how to use it in their best interests. As a response to this continuing growth of data, new technologies are starting to emerge. These technologies help make sense of company data and determine what customers want. One of these emerging technologies is, of course, Artificial Intelligence (AI).
We were delighted to recently kick off the Lumenore webinar series and honored that Donald Farmer, principal with TreeHive Strategy, agreed to be our expert guest presenter. Donald has more than 30 years of experience developing industry-leading, innovative data and analytics systems for companies such as Microsoft and Qlik. He is globally recognized as a visionary product leader, sought after speaker and author.
Let’s talk about what “Augmented Analytics” really is and why it is important. Conventional analytics involves a series of steps. From using sophisticated tools to a technical workforce, and data science specialists to prepare and derive insights in the form of dashboards. All this is done so that the business users can make their day-to-day decision making easier. But there is a critical dependency on various human and non-human material to make all of this instrumental.
Customer Contact Week Conference 2019: A Recognition…
Organizations require business insights for informed decision making across all business functions. Employee Training and Corporate Learning is no different. As a result, training programs are vital to skill development, product training, employee on-boarding, etc. Performance measurement is often carried out using some type of analytical solution. These include everything from spreadsheets to feedback forms and forms of 3rd party data visualizations. However, insights from these are either delayed, inconsistent, or nonexistent. Business Intelligence and Analytics provides trainers with the right on-time data insights. in short, these insights are required to ensure the effectiveness of the delivery and reception of training programs.
Everyday “By 2022, more than half of major new business systems will incorporate continuous intelligence that uses real-time context data to improve decisions.”
Your business success is determined by the customer experience you offer. According to a Mckinsey report – 70% of the customer’s journey is dictated by how the customer feels they are being treated. Poor experience leads to a loss of business with the customer journey ending before your enterprise has capitalized on it fully. Therefore, to offer a superior customer experience you need an effective customer communications management (CCM) solution.
Data forms the foundation of our workspace, and Business Intelligence provides users with the power to deal with data in a more systematic and effective way. With the right business insights, organizations can develop strong data-driven operational efficiencies and insights-driven strategic advantages.
Organizations need business insights for informed decision-making. Data-driven operational efficiencies and insights-driven strategic advantages create sustainability and growth for businesses. The massive increase in data used in business and enterprise functions, such as Customer Care, Finance, Procurement, HR, etc., across industries has driven organizations to leverage solutions form such data.
As an organization in the digital age, your value depends on how effective your data-driven approach is. Studies conducted by the McKinsey Global Institute point to data-driven organizations being 23 times more likely to acquire customers. Additionally, they are six times as likely to retain their customer base, and 19 times as likely to be profitable. However, research by EY shows that while 81% of organizations agree that data should be at the heart of every business decision, they fail to effectively implement it.