Data quality is one of the most important aspects of any successful data strategy, and it’s essential to ensure that the data you collect and store is accurate and reliable. Poor data quality can lead to costly mistakes in decision-making, inaccurate predictions, and ineffective strategies. Data quality is essential in any organization, and there…
In today's highly competitive business world, companies are constantly looking for ways to improve their supply chain operations. One of the most effective ways to do this is by measuring supply chain performance using real-time analytics. By understanding the performance of each aspect of the supply chain, companies can identify bottlenecks, reduce lead times,…
The decisions a business makes to help drive revenue and increase customer loyalty are only as good as the available data being referenced. Given the state of consumer demands and the changing ways they prefer to interact with brands, now is a crucial time for businesses to take stock of their cloud data analytics…
Poor quality data can lead to inaccurate insights, wasted resources, and decreased customer satisfaction. It is essential to ensure that all of your data is accurate and up-to-date to make the best decisions. Still, common issues and mistakes costs organizations millions of dollars annually in lost revenue opportunities and resource productivity. Thankfully, these pitfalls…
Financial institutions are making headlines around the world. There’s no shortage of press coverage on the recent collapse of Silicon Valley Bank and Signature Bank in New York, and there seem to be mounting fears about the overall health of the banking industry. While it is too early to know how these failures will…
Defining exceptional service Organizations always aim to give their customers the best experiences. There are several interpretations of what constitutes good and excellent service, and sometimes these terms are used interchangeably. However, many companies fail to achieve exceptional service because they do not understand their customers. Delivering any level of service requires that we…
Data management is a vital part of every modern organization. The best businesses today are using their data to inform business strategy, improve customer interactions and ultimately benefit the bottom line. So how can you improve your company’s data management system to reap maximum benefits in the new year? Let’s look at three tips…
An effective data management tech stack is essential to the health and success of any business, regardless of industry. Today, data is generated at faster rates and higher volumes than ever before, so businesses need systems that are unified and agile in order to keep up. As businesses try to keep up with the…
Today’s customers have high expectations when it comes to customer experience and making purchasing decisions. Consumers are looking for high-quality shopping experiences, both online and in-store. They expect companies to provide a clear shopping interface, visually appealing websites and store fronts, easy access to customer support, and simple checkout processes when interacting with brands.…
Today’s data managers face numerous data-related obstacles on a regular basis – a surge in the pace of digital transformation, datasets growing increasingly more complex, and the proliferation of data by volume, just to name a few. However, one issue that is quickly surging up the priority list is the protection of data within…
A current data explosion is being fueled by cheaper data storage and advanced analytics technologies. However, a difficult task still remains: how do we aggregate that data into a single place where you can easily analyze it? Teams struggle to access accurate, consistent data from the multiple analytics and extract, transform, load process (ETL)…
While not a new concept, edge computing is gaining steam, with more businesses embracing this technology at a breakneck pace. A recent Gartner report found that in 2022 alone, enterprises will create and process over 50% of the data they generate at the edge, outside the traditional data center or cloud infrastructure. This number…
With a myriad of customer experience (CX) tools available today, enterprises are flooded with options when it comes to the services they use to interact with customers. The challenge for businesses is sifting through the many data silos that these tools create. While CX tools are helpful for efficiency, they can create organizational blind…
Enterprises have had to adjust their business strategies to account for the rapid pace of change and transformation of the last few years. Factors such as technological innovation, decentralized work, and data volume have triggered an acceleration of digital transformation (DX) plans. For many, the COVID-19 pandemic and subsequent lockdowns also sped up the…
A recent McKinsey study found that over 70% of consumers expect a personalized interaction with the brands they engage with, and 76% have said they’re frustrated when this doesn’t take place. This represents a razor-thin edge for businesses, who can risk losing those frustrated customers to direct competitors, if their personalization efforts aren’t met.…
Healthcare organizations now require insights that are only possible to gain by bringing together diverse and disparate clinical, financial, and operational data from across the organization, as well as outside it. Without access to these insights, improvements in outcomes and operational efficiencies that value-based care models promise to deliver will be harder and more…
