Articles

Redshift vs. Snowflake: The Definitive Guide

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What Is Snowflake?

At its core Snowflake is a data platform. It’s not specifically based on any cloud service which means it can run any of the major cloud providers like Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP). As a SaaS (Software-as-a-Service) solution, it helps organizations consolidate data from different sources into a central repository for analytics purposes to help solve Business Intelligence use cases.

Once data is loaded into Snowflake, data scientists, engineers, and analysts can use business logic to transform and model that data in a way that makes sense for their company. With Snowflake users can easily query data using simple SQL. This information is then used to power reports and dashboards so business stakeholders can make key decisions based on relevant insights.

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How Carbon Uses PrestoDB With Ahana to Power Real-Time Customer Dashboards

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The author, Jordan Hoggart, was not compensated by Ahana for this review.

The Background

At the base of Carbon’s real-time, first-party data platform is our analytics component, which combines a range of behavioral, contextual, and revenue data, which is then displayed within a dashboard in a series of charts, graphs, and breakdowns to give a visual representation of the most important actionable data. Whilst we pre-calculate as much of the information as possible, there are different filters that allow users to drill deeper into the data, which makes querying critical.

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10 Best Alternatives to Google Analytics in 2021

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When you think of installing analytics, you probably reach for Google Analytics. And you wouldn’t be alone. The platform’s tight integration with SEO and the implication that using Google products is beneficial to ranking means that Google Analytics is the most commonly installed analytics solution globally.

Google Analytics isn’t a bad choice: it’s free, it’s fairly comprehensive, and it does indeed tie most SEO efforts up with a nice bow.

But Google Analytics is also slow, extremely bad for privacy — both yours and your users’ — and for many people, it’s too unwieldy, having grown organically over the years into a relatively complex UI.

Some alternatives are fast, privacy-friendly, and geared towards different specialisms. Today we’re rounding up the best…

1. Heap

Heap is an event-based analytics platform. That means you can tell not just how many people visited your site but what actions they took when they were there. This isn’t a unique proposition, but Heap is one of the best implementations.

Heap offers an auto-track tool, which is ideal for new installations because you can get up and running immediately and fine-tune the details later. That makes it great for startups, although it’s also the choice of major corporations like Microsoft.

Heap’s free plan includes 60k sessions per year and 12 months of data history, but when you outgrow that, the business plans start at $12,000/year.

2 ChartMogul

ChartMogul is geared towards SaaS that offer subscription plans, staking a claim as the world’s first subscription data platform.

Services like Buffer and Webflow use ChartMogul to monitor their revenue and analyze the ROI of changes to their features, design, and user experience.

Ideally suited for startups, ChartMogul pricing is based on monthly recurring revenue; it has a free plan for up to $10,000 MMR; after that, pricing starts at $100/month.

3. Fathom

Fathom is an awesome, privacy-first analytics solution. It offers a simple dashboard and is ideal for anyone looking for simple analytics information to verify business decisions.

Fathom is ideally suited to freelancers, or entrepreneurs with multiple projects, as it allows you to run multiple domains from a single account. Fathom is entirely cookieless, meaning you can ditch that annoying cookie notice. It’s GDPR, ePrivacy, PECR, CCPA, and COPPA compliant.

There’s a seven-day free trial; after that, Fathom starts at $14/month.

4. FullStory

FullStory is designed to help you develop engaging online products with an emphasis on user experience.

FullStory is a set of tools, making it ideal for large in-house teams or in-house teams working with outside agencies or freelancers. It pitches itself as a single source of truth from which everyone from the marketing department to the database engineers can draw their insights, helping digital teams rapidly iterate by keeping everyone in the same loop.

FullStory uses AI to track and interpret unexpected events, from rage clicks to traffic spikes, and breaks those events down to a dollar-cost, so you can instantly see where your interventions will have the most impact.

There’s a free plan for up to 1k sessions per month; once you outgrow that, you need to talk to the sales team for a quote.

5. Amplitude

Amplitude has one of the most user-friendly dashboards on this list, with tons of power behind it. For project managers trying to make science-based decisions about future development, it’s a godsend.

The downside with Amplitude is that to make the most of its powerful data connections, you need to pump a lot of data in. For that reason, Amplitude is best suited to sites that already have a substantial volume of traffic — among those customers are Cisco and PayPal.

Amplitude provides a free plan, with its core analytics and up to 10m tracked actions per month. For premium plans, you have to contact their sales team for a quote.

6. Mixpanel

Mixpanel is a little bit more than an analytics program, aiming to be a whole suite of web tools it has ventured into split testing and notifications.

Mixpanel is laser-focused on maximizing your sales funnel. One look at the dashboard, and you can see that Mixpanel, while very well designed, has too many features to present them simply; Mixpanel is ideally suited to agencies and in-house development teams with time to invest — you probably want to keep the CEO away from this one.

Mixpanel has a generous free plan for up to 100k monthly users, with its business plans starting at $25/month.

7. Mode

Mode is a serious enterprise-level solution for product intelligence and decision making.

Ideally suited to in-house teams, Mode allows you to monitor financial flow and output the results in investor-friendly reports. You can monitor your entire tech stack and, of course, understand how users are interacting with your product. Wondering who handles the analytics for Shopify? That would be Mode.

Mode has a free plan aimed at individuals, but this tool’s scope is really beyond freelancers, and the free plan’s only likely to appeal to high-price consultants and tech trouble-shooters. For the full business plan, you need to contact Mode’s sales team for a quote.

8. Microanalytics

Microanalytics is a relatively new analytics program with a lightweight, privacy-focused approach.

Microanalytics provides a simple dashboard with acquisitions, user location, technology, and the all-important event tracking to monitor user behavior. Microanalytics is compliant with the web’s most stringent privacy laws, including GDPR, PECR, and CCPA. The tracking code is just 1kb in size, meaning that you’ll hardly notice its footprint in your stats.

Microanalytics is free for up to 10k pageviews/month; after that, the monthly plan starts at $9.

9. GoSquared

GoSquared is another suite of tools, this time aimed at SaaS. Its primary product is its analytics, but it also includes live chat, marketing tools, and a team inbox.

If you’re tired of comparing multiple tools to help make the most of your startup, GoSquared kills several birds with one stone. Perhaps most importantly, if you’re beginning to build a team and don’t have any engineers onboard yet, GoSquared has an award-winning support team and an idiot-proof setup process.

GoSquared has a free plan that’s fine for evaluating the suite and integrating data from day one. As you begin to grow, paid plans start at $40/month.

10. Segment

Segment is a little different from the other analytics tools on this list; Segment is a layer that sits between your site and your analytics. It integrates with many of the tools on this list.

There are several benefits to this approach. The main one is that different teams within your enterprise can access analytics data in a form that suits them — designers can access complex data, and management can stick to revenue flow. It also means that you can switch analytics programs with a single setting in Segment and even migrate historical data into new apps. If you’re an enterprise that wants to future-proof its customer intelligence gathering, Segment is worth considering.

Segment is trusted by some of the web’s best-known names, from IBM to Levis, and…ahem…Google.

Segment is free for up to 1k visitors per month, and after that, the team plan starts at $120/month.

Source

The post 10 Best Alternatives to Google Analytics in 2021 first appeared on Webdesigner Depot.


Source de l’article sur Webdesignerdepot

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Top 5 Reasons Presto Is the Foundation of the Data Analytics Stack

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The need for data engineers and analysts to run interactive, ad hoc analytics on large amounts of data continues to grow explosively. Data platform teams are increasingly using the federated SQL query engine PrestoDB to run such analytics for a variety of use cases across a wide range of data lakes and databases in-place, without the need to move data. PrestoDB is hosted by the Linux Foundation’s Presto Foundation and is the same project running at massive scale at Facebook, Uber and Twitter.

Let’s look at some important characteristics of Presto that account for its growing adoption.  

Source de l’article sur DZONE

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SAP lance SAP® Customer Data Platform pour permettre aux entreprises de connaître le client au moment opportun

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WALLDORF, Allemagne — 14 octobre 2020 — SAP SE (NYSE : SAP) a annoncé aujourd’hui le lancement mondial de SAP® Customer Data Platform, une plateforme de données client (CDP) de nouvelle génération qui vise à permettre aux entreprises de redéfinir l’expérience client à chaque interaction, du commerce au marketing, en passant par les ventes et les services. L’annonce a été faite lors de l’événement SAP Customer Experience LIVE, qui s’est tenu en ligne les 14 et 15 octobre.

À mesure que l’expérience client devient un facteur de différenciation de plus en plus important pour les marques du monde entier, de nombreuses entreprises se tournent vers les CDP afin de créer des expériences uniques et personnalisées pour diverses utilisations marketing. Pourtant, cette approche marketing restrictive a trop souvent entravé le véritable potentiel d’une CDP performant. SAP Customer Data Platform est conçue pour aller au-delà du marketing en ajoutant un contexte riche aux expériences commerciales, de vente et de service, avec un marketing pertinent et opportun. Ce faisant, l’objectif de SAP Customer Data Platform consiste à proposer une personnalisation basée sur sa capacité à collecter et à gérer les données client. Cela permettra aux entreprises de connaître le client à chaque point de contact, de mener efficacement des conversations pertinentes et de fidéliser durablement le client.

Connecter, respecter, comprendre et personnaliser les données pour réussir

SAP Customer Data Platform a été spécialement conçue pour exploiter quatre opportunités clés visant à accroître la portée et l’efficacité de la marque :

  • Connecter chaque source de données de l’entreprise. Lorsque plusieurs sources de données stockent individuellement les données des clients, les silos de données se multiplient et la vue client est fragmentée. Avec SAP Customer Data Platform, les données client peuvent être ingérées et résolues par toutes les sources de l’entreprise, y compris les données CRM internes, les données de seconde partie, de tiers et hors ligne, les événements et flux d’activités, ainsi que les données transactionnelles, comportementales, d’expérience et de back-office. Quelle que soit la source, les données sont conservées, avec leur contexte, en plus des données opérationnelles, pour connecter des systèmes qui nécessitent un degré élevé de confiance dans la qualité des données. Cela se traduit par des profils client unifiés, vivants et dynamiques, mis à jour en temps réel et au moment opportun.
  • Respecter les données des clients en adoptant une stratégie globale en matière de confidentialité des données. Dans le paysage actuel de la confidentialité des données, les marques doivent comprendre comment, quand et où les données clients peuvent être utilisées. En comprenant l’objectif principal de la collecte des données, SAP Customer Data Platform peut aider à l’adoption d’une stratégie de confidentialité plus globale, en fusionnant les données entrantes dans un profil uniquement après obtention des autorisations requises. Cela permet d’introduire plus de transparence dans les pratiques de collecte de données et les raisons pour lesquelles les données sont traitées, ce qui contribue à réaffirmer l’engagement d’une marque à respecter la confidentialité des données de ses clients.
  • Comprendre les grands volumes de données. SAP Customer Data Platform offre une segmentation puissante et des indicateurs d’activité calculés en temps réel pour aider à comprendre réellement les préférences et le comportement des clients. Cela sert de base de données pour la croissance du public et l’incitation, qui est essentielle pour offrir des interactions pertinentes et personnalisées sur tous les canaux. En centralisant la gestion du public, les marques peuvent proposer des expériences cohérentes sur toutes leurs solutions marketing, de personnalisation, commerciales, de service et de vente, ce qui est essentiel dans une stratégie axée sur le client.
  • Hyper-personnaliser les engagements grâce à une vue complète du client. SAP Customer Data Platform permet d’unifier de grandes quantités de données opérationnelles de back-office avec des données de front-office et d’expérience. Les solutions d’engagement sont ainsi alimentées à l’échelle de l’entreprise grâce à des informations clients exploitables, basées sur les autorisations, en temps réel, ce qui permet d’obtenir des interactions pertinentes au bon moment et au bon endroit, sur le canal préféré du client et selon ses conditions.

« Aucun client n’est identique et aucun client n’est parfaitement prévisible », a déclaré Trond Anderson, responsable de la stratégie et de l’architecture informatique chez Elkjøp Nordic AS, l’un des plus grands détaillants spécialisés dans l’électronique grand public des pays nordiques. « Grâce à SAP Customer Data Platform, nous pouvons créer une vue contextuelle du client et l’associer à un profil unifié, afin de mieux anticiper ses besoins et désirs lorsqu’il les exprime. L’efficacité de notre engagement est améliorée par la gestion des données en temps réel et nous nous assurons de traiter les données de manière conforme et respectueuse. »

S’appuyer sur une base solide
SAP Customer Data Platform repose sur les solutions SAP Customer Data Cloud, elles-mêmes basées sur la technologie Gigya. Les solutions SAP Customer Identity and Access Management et SAP Enterprise Consent and Preference Management sont intégrées pour garantir un profil digital sécurisé et conforme. SAP Customer Data Platform sert de tissu conjonctif du profil en temps réel, ce qui permet d’établir une base de données sur le client et d’engager une conversation pertinente chaque fois que le client souhaite interagir avec la marque.

« Nous n’avons pas inventé la CDP, mais SAP Customer Data Platform ouvre la voie à un nouveau monde d’opportunités », a déclaré Bob Stutz, président de l’expérience client de SAP. « SAP Customer Data Platform est l’une des CDP les plus sophistiqués pour les entreprises. Elle peut véritablement offrir des expériences personnalisées qui permettent aux utilisateurs anonymes de se transformer en clients connus et fidèles, en utilisant les canaux préférés du client, en unifiant de grandes quantités de données de front-office, de back-office et d’expérience, comme seul SAP peut le faire. »

The post SAP lance SAP® Customer Data Platform pour permettre aux entreprises de connaître le client au moment opportun appeared first on SAP France News.

Source de l’article sur sap.com

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Digital Without Transformation

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I had the opportunity to meet virtually with Dani Golan, CEO and Co-founder, and Derek Swanson, CTO of Kaminario as part of the 34th IT Press Tour. 

Hybrid multi-cloud infrastructure continues to win the day for enterprises. This is driven by the exponential growth of data, limited budgets, digitalization of business, and changing demand for skills and roles. The globalization of business requires access to data everywhere with everything being connected and data being collected at millions of endpoints while remaining compliant with geographically-specific data privacy laws.

Source de l’article sur DZONE

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How a Center of Excellence Helps Better Govern Your MFT User Experience

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In my last post, we talked about the benefits of consolidating over dividing for a data flow governance model. This is very important when it comes to technical aspects, but also from an organizational stand point. This is where the notion of a Center of Excellence, or ‘CoE,’ comes into play. In our context, this team will concentrate on how to lead the transformation from “plain Managed File Transfer (MFT)” to a Digital MFT.

With this article, we will discuss the reason to build a Center of Excellence and what is an appropriate scope of responsibilities.

Source de l’article sur DZONE

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