I Big Data e gli analytics workloads sono la nuova frontiera per le aziende. I dati vengono raccolti da fonti che non esistevano 10 anni fa. Tutti i dati dei telefoni cellulari, i dati generati dalle macchine e i dati relativi all’interazione con i siti vengono raccolti e analizzati. Inoltre, con i budget IT sempre più sotto pressione, l’impatto ambientale dei Big Data non fa che aumentare e pone grandi sfi de per i sistemi storage.
Questo documento fornisce informazioni sulle problematiche che le applicazioni dei Big Data pongono sullo storage e su come scegliere le più corrette infrastrutture per ottimizzare e consolidare le applicazioni dei Big Data e degli analytics, senza prosciugare le fi nanze.
More data means more opportunities to discover powerful, actionable insights around customers, internal processes, and the broad market. Unfortunately, legacy IT architectures and approaches can block progressive analytics efforts.
That leaves a lot of room for improvement, and the learning and investment curve for starting in analytics can be steep. However, tending to three core steps will prove immensely helpful on this journey:
• Establishing an organizational foundation
• Mapping the data pipeline
• Transitioning analytics proofs of concept into production
Published By: Datastax
Published Date: Oct 21, 2019
A recent Gartner survey found that 80% of respondents using public cloud are using more than one cloud service provider (CSP). As databases move to the cloud, the database management service vendor landscape is shrinking, and data governance and integration are becoming more complex.
Are you ready for the impact of multicloud deployments on data and analytics strategies in your own organization?
This new Gartner report on multicloud and intercloud data management provides an impact appraisal along with recommendations for leaders planning to incorporate multiple CSPs into their data management strategies.
Published By: Datastax
Published Date: Oct 21, 2019
The majority of enterprises using cloud will be living in a hybrid deployment world for the foreseeable future. Data and analytics leaders must understand the risks and benefits in using the primary scenarios for hybrid cloud DBMS, and how they align with core use cases and architectures.
Read this Gartner report to learn more about how you can evolve your data management strategy to reflect the latest trends and technologies.
This webinar demonstrates how connected data changes everything. In an autonomous world you’ll take the lead, becoming central to your company’s success. Machine learning will take care of the day-to-day maintenance leaving you to focus on design, analytics and strategy. And crucially, you’ll find yourself empowering and inspiring your colleagues to gain their own insights from real- time data.
We’re living in the age of the customer, so it’s understandable that many companies are striving — and claiming — to be customer obsessed. yet many still fall short of creating superior customer experiences, even with sophisticated customer analytics in place, because of myopia and internal misalignment. The solution lies in a new customer insights paradigm: the next best experience (nBX). customer insights (ci) pros need to reevaluate their current analytics practices and embrace the nBX model to become truly customer obsessed.
Organizations are charging ahead with investments in cloud and analytics to deliver agility, scalability and cost savings. With computing power advancements and continuous growth of data, cloud provides the elastic workloads and flexibility required for modern business. However, the environment of flexibility and choice that cloud provides also creates complexity and challenges.
In this white paper, learn how organizations are applying expertise and using the latest methods to move analytics to the cloud, including:
• Why are organizations moving analytic work to the cloud?
• What are the key challenges and misconceptions?
• How do IT leaders provide choice while maintaining control?
Envision this situation at a growing bank. Its competitive landscape demands an agile
response to evolving customer needs. Fortunately, analytically minded professionals in
different divisions are seeing results that positively affect the bottom line.
• A data scientist in the business development team analyzes data to create customized
• experiences for premium customers.
• A digital marketer tracks and influences the customer journey for prospective
• mortgage customers.
• A risk analyst builds risk models for the bank’s loan portfolios.
• A data analyst examines data about local customers.
• A technical architect defines a new system to protect bank data from internal and
• external cyberthreats.
• An application developer builds a new mobile app for online customer portfolio
Between them, these employees might be using more than a dozen packages for
analytics and data management.
"Como vamos usar todos os dados da rede inteligente?"
Produtores, distribuidores e consumidores de eletricidade em quase todos os países desenvolvidos estão se perguntando isso. Os dados gerados por medidores inteligentes, os dispositivos conectados, os geradores de energia, barragens hidrelétricas, fazendas solares e consumidores cada vez mais sofisticados têm o potencial de melhorar consideravelmente a confiabilidade da geração, gerenciamento, armazenamento e da distribuição de energia.
A análise avançada pode ajudar a alcançar todo esse potencial. Mas, como? Ela desempenha um papel importante nas empresas de serviços que buscam transformar dados em dinheiro, por meio da análise das informações acumuladas para melhorar a gestão da demanda, a alocação de ativos e de pessoal, a previsão de demanda e a manutenção preditiva e preventiva. De fato, a análise está alimentando essa transformação do setor.
“¿Cómo utilizaremos todos los datos de la red inteligente?”
Los productores, distribuidores y consumidores de electricidad de casi todos los países desarrollados se están haciendo esa pregunta. Los datos producidos por los medidores inteligentes, los dispositivos conectados, los generadores de energía, las presas hidroeléctricas, las granjas solares y los consumidores más sofisticados, tiene el potencial de mejorar considerablemente la confiabilidad de la generación, gestión, almacenamiento y distribución de electricidad.
La analítica avanzada puede ayudar a alcanzar todo ese potencial. Pero, ¿cómo? Tiene un papel de gran relevancia en las empresas de servicios que buscan convertir los datos en dinero mediante el análisis de la información acumulada para mejorar la gestión en el lado de la demanda, la asignación de recursos y de personal, pronosticar la demanda y el mantenimiento preventivo. De hecho, la analítica está impulsando esta transformación de la industria.
Companies that put data at the centre of their business gain better insights and deliver more effective marketing. Data centricity at an organisational level is the priority for larger companies, mindful of the opportunities afforded by more scientific commercial decision-making and data-driven marketing. A focus on data alone in the context of customer analytics is not enough, however. Companies require insights from their data to deliver first-class customer experiences that give them a competitive advantage.
Our global survey of more than 1,000 business respondents shows that companies are rightly focused on activities powered by actionable insights as opposed to focusing on data for its own sake. More effective segmentation and targeting (65%), and better marketing attribution (52%), are the top data-related priorities for marketers, while ‘technologists’ (including analysts, ecommerce, and IT professionals) are primarily focused on making their organisations more data-centric (50%
In this e-book, you’ll discover
1. How next-generation cloud technologies such
as customer journey mapping platforms and
advanced analytics are poised to transform the
2. The top operational and technical challenges
that next-generation cloud technologies tackle.
3. Examples of how companies can tap into
next-gen cloud technologies to elevate the
Let’s face it: in today’s B2B landscape, the buyers call the shots. Buyers today are proactive, research
their own options, and often include many decision makers rather than just one who can be wooed on
a golf course or over dinner.
So, where does that leave the salesperson? To succeed in this new landscape, sales professionals must
understand how the buyer’s journey has changed and unlock the advantages that data analytics and
statistical modeling can offer. Sales and marketing teams must also learn how to align their efforts to
present a truly coordinated experience.
Read this paper to learn how to take advantage of untapped opportunities for helping sales teams
evolve in today’s buyer-empowered landscape.
Published By: InMoment
Published Date: Oct 16, 2019
According to research from Digital Banking Report2, FinServ organizations must focus on five crucial CX priorities in order to meet the needs of their evolving clients:
Digital Experience Enhancement
Advanced Analytics for Personalization
Proactive Sales and Advisory
Download the report to read more about the five priorities
Why data-driven businesses stand out from the crowd.
Why Should the Target Audience Care?
Enterprises need to become more data-driven by using more mature analytics tools to stand out from the crowd
Smart, effective customer analytics tools helps organizations reap the rewards of increased customer satisfaction and brand loyalty. Neglecting advances in customer analytics technology could seriously impact a company's ability to compete in the future marketplace. Where do your customers and prospects sit on the customer analyticsmaturity scale? Are they leaders or are they laggards?
Read "Customer Analytics: The 20 Attributes that Lead to Business Success" for insights into:
• the key drivers needed within an organisation that help grow customer analytics maturity
• why companies using paid analytics solutions experience more tangible benefits than those using free analytics
• how to distinguish customer analytics leaders from laggards
Like the oxygen we breathe, journey analytics brings life to the customer behind those devices, over time getting to know their favorite pastry choice, when they’re most likely to buy gas, and how long they stay online while in the station’s café.
WHY SHOULD THE TARGET AUDIENCE CARE?
Business struggle to gain a holistic customer view — the skills to identify actionable insights from multichannel data are in short supply. If they could gain a holistic view of customer attributes and behaviors, they could make sure they get the right content at the right time.
If you want your customers to enjoy seamless, personalized experiences, you need to treat them like people. That means marketing to the person — not the device. When you know a customer’s interests, wants, and needs — perhaps even before they do — you’ve succeeded at becoming a true experience business. For some, this may require a shift from analytics as a tool to analytics as a way of life. It may also m
To stay ahead of the competition in a global marketplace, firms are increasingly speeding up operations, in many cases adopting real-time systems and tools to allow for instant decision-making and faster business cycles. Download here to learn how.
Published By: Sitecore
Published Date: Nov 04, 2009
This report highlights the strategic value of a next generation web content management system integrated with lead scoring, email marketing, customer relationship management, and web analytics. The report links the technology and practices of Best-in-Class organizations to engage customers, provide personalized experiences and manage the lead lifecycle.
Published By: Sitecore
Published Date: Jan 06, 2009
This guide offers insight into the WCM technology choices available today, discusses some of the requirements both IT and business users should consider when selecting a WCM solution, and includes advice for ensuring a successful evaluation process.
Published By: Sitecore
Published Date: Jul 08, 2009
This whitepaper discusses the need to target outcomes and focus on building a complete, 360-degree view of your customers -- who they are, where they came from, what they do, and how you can best meet their needs.
Published By: Marketo
Published Date: Sep 03, 2019
How much additional profit will a 10% increase in your marketing budget generate?
44% of qualified marketers have NO idea.
If you fit into the 44% above, justifying your budget will be a serious challenge, as will asking for an increase. In fact, you'll likely find yourself asking the question the other way around: What will happen if my marketing budget gets cut by 10%? You can't expect your organization to place value on something you're unable to quantify.
Our Definitive Guide to Marketing Metrics will help you do just that. You'll learn about:
How Measurement Builds Respect and Accountability
Planning for Marketing ROI
A Framework for Measurement
Marketing Performance Measurement
The Art of Forecasting
Implementation: Team, Tactics, Technology
Download the comprehensive 88-page guide and start taking your marketing to the next level.
Pokémon experienced massive growth in the number of downloads for their most popular gaming app. Ensuring customer data was managed, secured, and private was a top priority for their Information Security team.
Join us to learn how Pokémon leveraged Sumo Logic on AWS to implement a security analytics solution to scale with their rapid growth. Pokémon will also discuss how they strengthened their overall security posture, gained a unified view of operations, and delivered on their core values of trust and child safety.