What are the top business intelligence trends to improve customer experience?

Augmented Analytics will improve delivery pipelines. Automation and augmented analytics are disrupting the market by providing faster and more efficient delivery pipelines, enabling data discovery for non-technical users and allowing seamless integrations between systems.

Customer experience can be made better once customer feels connected to the product/service, as she/he feels important. One of the best way to do this is to identify the pattern in which they feel connected, which can be collectively done through Augmented analytics , Data storytelling , data Governance.

Augmented analytics is indeed a crucial trend reshaping business intelligence and customer experience enhancement. By leveraging advanced analytics and AI technologies, businesses can gain deeper insights from their data, leading to more informed decisions and personalized customer interactions. Augmented analytics not only automates data preparation and analysis but also offers predictive and prescriptive insights, enabling companies to anticipate customer needs and deliver proactive support. With Freshworks' Customer Experience solutions, incorporating augmented analytics, businesses can optimize operations, anticipate customer preferences, and drive meaningful interactions, ultimately enhancing overall customer experience and loyalty.

Data, Data, Data. It is becoming easier and less expensive to collect detailed data on consumers and their interactions with your services. Then it is a question of organizing these data, and then leveraging them to give the consumer what they want.

As per my experience, AI - driven analytics are in trend to get automated in insights which helps business users to derive actionable insights where they don't possess advance analytics skills. This has become essential for BI platforms to leverage augmented analytics so that businesses can improve their customer experience and provide efficient, personalized and effective customer service. One of the most effective advantages in customer experience is to the ability to automate repetitive tasks eg: AI powered chatbot which can give responses based on all customer touch points which eventually improve customer satisfaction.

?? La narración de datos es el arte de utilizar historias para comunicar insights de datos de manera efectiva, haciendo que la información compleja sea comprensible y atractiva. Esta técnica es especialmente valiosa para presentar análisis de clientes de manera que resuene con los tomadores de decisiones, facilitando la implementación de mejoras en la experiencia del cliente. Al contar historias con datos, las empresas pueden destacar las áreas de éxito y las oportunidades de mejora de manera convincente.

Data storytelling has been a journey in my years of experience and you have to strategically plan on how to provide the storyline with access to these data sources, aggregation of data, and provide a platform to retrieve the data without interrupting the transactional flow. The data changes the narrative and delivery with ML, LLM and AI to help provide the backbone in supporting this journey has been a game changer in our delivery back to our community.

Als CEO k?nnen Sie Data Storytelling nutzen, um komplexe Daten in überzeugende Erz?hlungen zu verwandeln, die Ihr Team und Ihre Stakeholder inspirieren UND informieren. Data Storytelling erm?glicht es Ihnen, strategische Entscheidungen auf fundierten Einblicken zu treffen, Ihr Team zu motivieren und Ihr Unternehmen erfolgreich voranzutreiben. Es kann auch dazu beitragen, Ihre Unternehmensvision und -ziele zu kommunizieren und das Vertrauen Ihrer Kunden und Investoren zu st?rken.

With my experience in creating impactful visualisations using Power BI and Tableau, we can craft compelling data narratives that drive strategic decisions and improve customer understanding.

- ?? Data storytelling: Key in BI landscape - ?? Transforms raw data into compelling narratives - ?? Highlights trends and patterns - ?? Engages audience, prompts action - ?? Influences decision-making - ??? Enhances customer experiences - ?? Leverage storytelling for business development - ?? Aligns with organizational goals

Data is data in the rawest form. Changing the way you leverage that data is based on the role of the user. This does not change nor will the perspective of data, which can always have spin on the way you consume and project your data to tell and support your story. Using the data to provide a narrative to propel your business forward helps to support any business. Using democratization to support different aspects for your business is a great way to optimize the use of data and change the perspective of data can be the difference maker.

?? La democratización de los datos se refiere a hacer que los datos sean accesibles para empleados de todos los niveles en la organización, no solo para los analistas de datos. Esto empodera a todos los empleados a tomar decisiones informadas basadas en datos, lo que puede tener un impacto directo en la experiencia del cliente. Herramientas de BI fáciles de usar y dashboards interactivos permiten que el personal de contacto con el cliente, como los representantes de servicio, accedan a insights relevantes en tiempo real para mejorar las interacciones con los clientes.

My proficiency in various BI tools and understanding of data governance can support efforts in making data more accessible, ensuring informed decision-making is widespread.

- ?? Data democratization is transforming BI. - ???? Aligns with my diverse data professional background. - ?? Enables data access across all organizational levels. - ?? Empowers informed decision-making by employees. - ?? Fosters transparency and collaboration culture. - ?? Leads to more personalized customer experiences. - ?? Drives innovation within organizations. - ?? Equips teams with necessary tools and training. - ?? Ensures data is actionable for business development. - ?? Provides competitive advantage.

In my experience, this could be a complex topic, in order to show the right data to the right person, start using "Personas" approach and work together to business and security areas to assign the data's policies and validate not just if the information is show correctly but also if there is no data leak for companies' sensible data. It's important use a tool to control the access for the users but it's mandatory to secure the data on the data sources instead on the applications.

?? La BI basada en la nube ofrece escalabilidad, flexibilidad y la capacidad de integrar datos de múltiples fuentes, incluidas las interacciones en redes sociales, comportamiento en el sitio web y feedback de los clientes. Esto proporciona una vista holística del cliente, crucial para mejorar la experiencia. Además, BI en la nube facilita la colaboración en tiempo real y el acceso a la información desde cualquier lugar, permitiendo a las empresas ser más ágiles y responsivas a las necesidades de los clientes.

My experience with cloud platforms like AWS QuickSight positions me to contribute to the migration and management of BI solutions in the cloud, enhancing scalability and collaboration.

Data governance is a must in any organization. We have experience too many users of data to come up with different conclusions and the "source of truth" lines become sku'd without the controlling body of what is the "source of truth". This will not only help guide your users but provide a baseline and standards on how the governing body can help accelerate your data strategy.

Als CEO unterstützt Sie Data Governance dabei, Datenqualit?t zu verbessern, indem sie: - Vertrauenswürdige Entscheidungen erm?glicht, da Daten genau und zuverl?ssig sind. - Risiken minimiert, indem Datenschutzverletzungen und -fehler vermieden werden. - Kundenvertrauen aufbaut, da Daten sicher und gesetzeskonform behandelt werden. - Effizientere Gesch?ftsprozesse schafft, indem saubere, vollst?ndige und aktuelle Daten bereitgestellt werden. - Wettbewerbsvorteile erlangt, indem datengesteuerte Entscheidungen getroffen werden und ein überlegenes Kundenerlebnis geboten wird.

Ensuring data quality and compliance has been a key part of my work, particularly when dealing with sensitive customer information. By establishing clear data governance policies and practices, such as those developed during my projects involving sensitive health data for vaccine prediction, we not only protected customer data but also ensured that the insights derived from this data were accurate and trustworthy, thereby improving customer trust and experience.

?? A medida que las empresas recopilan más datos de los clientes, la gobernanza de datos se vuelve crítica para garantizar la privacidad y seguridad de la información del cliente. Una sólida gobernanza de datos no solo cumple con las regulaciones de privacidad, sino que también fomenta la confianza del cliente. Implementar prácticas de gobernanza de datos efectivas es esencial para mantener y mejorar la experiencia del cliente, asegurando que los datos se utilicen de manera ética y responsable.

El àrea de Gobierno de datos constituye una pieza importante en las organizaciones y es muy ùtil en los proyectos, dado que durante los mismos se emplean recursos que pueden pertenecer a la empresa o puede ser personal externo con conocimientos tècnicos del sistema pero que no conocen los estàndares y las polìticas de la organización y por temas de tiempo requieren contar con datos confiables a la mano de manera de poder definir un patrón y a partir de ahí poder establecer los procesos a realizar, planificar, configurar y probar el sistema.

Everyone should receive training in data and the value of it to understand the significance of data. This training should from my point of view be incorporated into school, university, and workplace curricula, as it important for personal and business life.

BI is always changing, consider have specific areas to design, secure and lead the change management, allowing to the companies to be sure on the way that use the information to make decisions almost in real time. There is a couple of topics to be consider also: Real time analytics and how to fire a trigger when an specific event occurs inside the business.

Self-service BI: Empowering non-technical users with self-service BI tools enables them to access data insights without depending on IT, leading to quicker responses to customer needs and market trends. Hyperautomation: Automation, through BI, of as many business processes as possible, using technologies like RPA, can lead to greater efficiency and a more consistent customer experience.

When using tech to enhance processes, reduce response times, and anticipate future challenges, it's crucial to keep a focus on communities. In a rapidly evolving world, characterized by agility and decentralization, I strongly believe in the power of communities with shared objectives. Participation in such communities fosters a sense of belonging and facilitates mutual growth, enabling us to connect with others with similar paths and challenges. At the core of companies should be the creation of communities. By placing community-building at the forefront, we lay a solid foundation for delivering exceptional customer experiences. When customer interactions are based in a sense of community, the journey becomes smoother and deeply rewarding.

Self-service analytics has the potential to empower business users with self-service BI tools. This allows users to access and analyze business and customer data independently without relying on IT or data analysts. Self-service analytics enables faster decision-making, greater agility, and more personalized customer interactions, as business users can quickly generate insights and take action based on real-time data. Also, having data literacy knowledge would help customers and end-users when trying to use self-service analytics, and in the end, it would save all the stakeholders involved with the use of data time, energy, and resources that could be channeled to other objectives.