Digital Experience Platform for Enterprises

Product catalogs and eCommerce go hand in hand. Applying best practices in product catalog management helps you enhance product search and improve customer experience. This infographic highlights eCommerce product catalog management best practices for impactful digital commerce engagement and higher conversion.

 With data growing in monumental proportions (at a rate of 463 exabytes per day by 2025), it is safe to say that data is omnipresent and increasing exponentially – powering everything we do. However, in reality, data alone is not enough to produce successful business outcomes. Clearly, the rate of data comprehension cannot keep up with that of its creation. Today, “data-driven” has turned into an attribute that every organization aspires to be recognized. What it essentially means is data, as a true source of competitive differentiation, is imperative to arrive at better business decisions. In doing so, enterprises must harness the potential of their data through data visualization tools, knowledge extraction, analytical models, and decision systems to extract the maximum amount of insights. In essence, they need business intelligence software. A term introduced by the Gartner Group in the mid-90s, BI represents a wide area of applications and technologies that work in cohesion to ...

  As companies leverage new technologies to gain insights about processes and operations, IT infrastructure, customers, vendors, and other stakeholders, they do it from two deliberate perspectives – analytical and operational. The analytics POV covers reporting and compliance aspects and optimizes partner and channel engagement. The operational POV assimilates the organization’s ‘best-version of truth’ via accurate and consistent data across the lines of business. Both of these perspectives pivot around efficient data management – a key to strategize business moves effectively. In the digital day and age, Master Data Management (MDM) is no longer an additive. It is a crucial component for all enterprises, not only those who rely on inaccurate management reports or are awash in data deluge. MDM allows companies to accelerate insights by delivering accurate, real-time views of critical master data, thereby increasing the innovation strike rate. Additionally, it increases revenue grow...

  With the increasing demands of customer-centric brand presence and digitally broadcasted product launches, enterprises today often face hurdles stemming from poor data handling. Many businesses today, especially global enterprises, have many separate applications and systems (i.e., ERP, CRM and SCM) where data can quickly get fragmented, duplicated and outdated. If not managed carefully, the fragmented data can lead to divisional misalignment and suboptimal decision-making. In such a scenario, enterprises find it increasingly difficult to provide accurate answers to most basic questions on performance metrics or KPIs. This causes significant roadblocks in the business growth path. Master data management (MDM) can help address this need through information consolidation and thereby providing a "single source of truth."  How can MDM help? MDM supports a number of use cases for enterprises across products, customers, stores/locations, employees, suppliers, digital assets and m...

With the advent of the internet and the popularity of smart, always-connected devices, the retail industry has experienced quite a revolution. The vast amount of data available online has enabled customers to research, compare, and make more informed purchase decisions. At the same time, major advances in data analytics have made it possible for retailers and brands to uncover and interpret customer behavior patterns, both online and in-store. As retailing swings between the binary of outright customer loyalty and excessive cart abandonment, it’s not difficult to understand that success hinges on more than just customer impulse. Brands overly obsessing over high growth must realize that at the core of a highly personalized and contextualized retail experience, lies data – consistent, correct, complete, and appealing data. A myriad of decisions, both big and small, have to be made every day to ensure success in the retail space. From de-listing a particular product and adjusting staffin...

Data is the central concept around which the business world revolves, and decision-makers are not flinching from that anymore. Rather, the pursuit to harvest the data further to bring the best business outcomes is a global one. However, while walking the tightrope between application data and business processes, one needs to steer clear of possible challenges arising from a range of heterogeneous and complex applications that produce variegated data. Industry analysts believe that the amount of data in the world will grow from 4.4 zettabytes in 2013 to 30 billion by 2020. Fueled by data-heavy digital technologies like the Internet of Things (IoT), sensors, video surveillance, cognitive automation, RPA, and social engagement platforms; the figure is expected to boom even more. However, there is one challenge. With the proliferation of data types, formats, analytical tools, and hosting channels, the constant creation and distribution of data inside and outside of the enterprise...