Wer nutzt diese Software?

Looker bringt Daten und Business-Teams zusammen, indem es jedem einfach macht, die für das Geschäft wichtigen Daten zu erkunden und zu verstehen.

Durchschnittliche Bewertung

124 Bewertungen
  • Gesamt 4.6/5
  • Benutzerfreundlichkeit 4.2/5
  • Kundenservice 4.7/5
  • Funktionen 4.4/5
  • Preis-Leistungs-Verhältnis 4.3/5

Produktinformationen

  • Kostenlose Version Nein
  • Gratis Testen Ja, Kostenlose Testversion
  • Einsatz Cloud, SaaS, Web
  • Training Persönlich
    Live Online
    Webinare
    Dokumentation
  • Kundenbetreuung Support während der Geschäftszeiten
    Online

Angaben zum Hersteller

  • Looker Data Sciences
  • http://www.looker.com/
  • Gegründet 2012

Über Looker

Datenexploration und Analyse-Lösung, kombiniert mit Modellierung, Umwandlungen und Ableitungen auf gleicher Ebene.

Looker Funktionen

  • Ad-hoc-Berichte
  • Benchmarking
  • Dashboard
  • Leistungskennzahlen
  • Prädiktive Analytik
  • Rentabilitätsanalyse
  • Strategische Planung
  • Trend- / Problemindikatoren
  • Veröffentlichung / Teilen
  • Visuelle Analytik
  • Wertungslisten
  • Wichtige Leistungsindikatoren (Key Performance Indicators, KPI)
  • Ad-hoc-Analyse
  • Ad-hoc-Berichte
  • Dashboard
  • Konsolidierung
  • Kostenplanung und Prognosen
  • Prädiktive Analytik
  • Qualitative Analyse
  • Quantitative Analyse
  • Strategische Planung
  • Wertungslisten erstellen
  • Wichtige Leistungsindikatoren (Key Performance Indicators, KPI)
  • Codefreie Sandbox
  • Data Mining
  • Data Warehousing (Datenlager)
  • Daten mischen
  • Datenbereinigung
  • Datenvisualisierung
  • Kollaboration
  • Prädiktive Analytik
  • Verarbeitung von hohen Volumen
  • Vorlagen
  • Datenquelle-Integrationen
  • Datenvisualisierung
  • Funktionen / Berechnungen
  • KPI-Überwachung
  • Private Dashboards
  • Wertungslisten
  • Widgets
  • Öffentliche Dashboards
  • Datenabgleich
  • Datenklassifizierung
  • Datenvorbereitung in Selbstbedienung
  • Erkennung sensibler Daten
  • Kontextuelle Suche
  • Verringerung falscher Positive
  • Visuelle Analytik
  • Analytik / Reports
  • Benutzerdefinierte Dashboards
  • Content-Management
  • Gefilterte Ansichten
  • OLAP
  • Relationales Display
  • Simulationsmodelle
  • Visuelle Entdeckung
  • Dashboard
  • Dynamische Karten
  • Einbettbare Karten
  • Element-Analytik
  • Für den Vertrieb
  • Für die Wissenschaft
  • Radiale Abbildung und Zuordnung
  • Territoriales Mapping
  • Verhalten-basiertes Mapping
  • Website-Analytik
  • Ad-hoc-Anfrage
  • Anwendungsentwicklung
  • Benchmarking
  • Dashboard
  • Interaktive Berichterstattung
  • Kollaboration mehrerer Nutzer
  • Mobile Berichterstattung
  • Self-Service-Analyse
  • Streaming-Analyse
  • Visual Workflow Management
  • A/B-Tests
  • Customer Journey Mapping
  • Dashboard
  • Kampagnen-Tracking
  • Kanalzuordnung
  • Leistungskennzahlen
  • Prädiktive Analytik
  • ROI-Tracking
  • Social Media-Kennzahlen
  • Website-Analytik
  • Customer Journey Mapping
  • Kanalübergreifende Zuordnung
  • Konversion-Tracking
  • Multi-Touch-Attribution
  • Prädiktive Analytik
  • ROI-Tracking
  • Segmentierung der Audienz
  • Zuordnungsmodellierung
  • AI / Maschinelles Lernen
  • Benchmarking
  • Data Mining
  • Daten-Vermischung
  • Empfindungsanalyse
  • Für die Bildung
  • Modellierung & Simulation
  • Nachfragevorhersage
  • für das Gesundheitswesen
  • Anmerkungen
  • Datenvisualisierung
  • Empfindungsanalyse
  • Forschung mit gemischten Methoden
  • Kollaboration
  • Media-Analytik
  • Mehrsprachig
  • Nutzerforschungsanalyse
  • Qualitative komparative Analyse
  • Quantitative Inhaltsanalyse
  • Statistische Analyse
  • Textanalyse
  • Anpassbares Dashboard
  • Berichtsexport
  • Datenquellen-Verbinder
  • Drag-and-Drop
  • Drill-Down
  • Finanzberichte
  • Geplante / automatisierte Berichte
  • Marketing-Berichte
  • OLAP
  • Prognose
  • Verkaufsberichte
  • Compliance-Verfolgung
  • Dateispeicherung
  • Erkennung von Zusammenhängen
  • Multivariate Statistik
  • Prognose
  • Regressionsanalyse
  • Statistische Prozess-Kontrolle
  • Statistische Simulation
  • Zeitreihen
  • Überlebensanalyse
  • Benutzerinteraktion-Nachverfolgung
  • Empfehlungsquelle nachverfolgen
  • Kampagnenmanagement
  • Konversion-Tracking
  • Seitensuche-Nachverfolgung
  • Seitenzugriff-Tracking
  • Stichwort-Nachverfolgung
  • Verwaltung mehrerer Websites
  • Zeit auf der Website nachverfolgen
  • Ziel-Nachverfolgung

Die hilfreichsten Reviews für Looker

Looker allows everyone in your company, even the less tech-savvy, to make data-driven decisions.

Bewertet am 13.12.2017
Teena B.
Implementation Specialist / Customer Success
Verwendete die Software für: Mehr als 2 Jahre
Quelle des Nutzers 
5/5
Gesamt
4/5
Benutzerfreundlichkeit
5/5
Eigenschaften & Funktionalitäten
5/5
Kundenbetreuung
5/5
Preis-Leistungs-Verhältnis
Wahrscheinlichkeit der Weiterempfehlung:
Unwahrscheinlich Äußerst wahrscheinlich

Kommentare: We get to force-multiply our impact by making it easy for users in all departments to make data-driven decisions and help allow that to drive their day-to-day.

Vorteile: I love the customization of Looker, and that you can put large amounts of data into the hands of anyone -- in a way that makes sense [to them]!
While their product is great, it speaks volumes to the team. It's an amazing group of people that continue to receive feedback from their customers and iterate time and time again on their product. They truly care about data and their customers, and they want to empower them the best they can.

Nachteile: When modeling views, I wish you could define better filters for measures but it's limited. There are workarounds, meaning modeling out several additional dimensions to arrive at the measure you need to pull regularly, but it'd be much more efficient to allow for measures to be more nuanced. Large dashboards (with 25+ tiles) can take awhile to load, which is understandable. Once their "merge results" feature is fully rolled out and we're able to save them as new tiles or looks, it should help resolve the need for so many tiles. Neither of these two things are a big deal, and I wouldn't let this deter you from considering this software.

Data Models, Security, and Amazing Customer Support

Bewertet am 14.6.2019
Catherine S.
Senior Business Intelligence Analyst
Informationstechnologie & -dienste, 501-1.000 Mitarbeiter
Verwendete die Software für: 6-12 Monate
Quelle des Nutzers 
5/5
Gesamt
5/5
Benutzerfreundlichkeit
5/5
Eigenschaften & Funktionalitäten
5/5
Kundenbetreuung
5/5
Preis-Leistungs-Verhältnis
Wahrscheinlichkeit der Weiterempfehlung:
Unwahrscheinlich Äußerst wahrscheinlich

Kommentare: Looker is quickly becoming our go-to for reporting and dashboarding for anything requiring more than one data source (and some that are based on just one). Paired with a kick-ass centralized data warehouse (we use Snowflake), Looker lets us roll things out very quickly (provided our data infrastructure is in good shape). It did take a while to get going with Looker because it lays on top of the existing data infrastructure. Now that we have quite a bit of strong infrastructure in place in our centralized data warehouse, we are able to produce data products in Looker quite quickly.

Vorteile: Provisioning security allows us to control the user experience (and only show users things they would actually care about). This makes a dashboard or data product rollout far smoother. Additionally, the customer support (especially through the chat interface) is absolutely fantastic. Because Looker creates a custom URL for each explore you're working on, you can share with Customer Support your exact problem and work together to find a solution.

Nachteile: Looker Sales told us beforehand that it "writes the most performant SQL possible." I have not found this to be the case, as it often casts and does a few other things (I suspect to make it runnable no matter how you've set up your data). There are some limitations on the visualizations, etc., but Looker Customer Service has been super responsive when those come up.

Provides valuable insights for all users (Technical and End Users)

Bewertet am 14.6.2019
Verifizierter Rezensent
CS Analyst - Weebly Operations
Internet, 1.001-5.000 Mitarbeiter
Verwendete die Software für: Mehr als 2 Jahre
Quelle des Nutzers 
5/5
Gesamt
4/5
Benutzerfreundlichkeit
5/5
Eigenschaften & Funktionalitäten
4/5
Kundenbetreuung
Preis-Leistungs-Verhältnis
Wahrscheinlichkeit der Weiterempfehlung:
Unwahrscheinlich Äußerst wahrscheinlich

Kommentare: This software has truly put our leadership team above the benchmark with data efficiencies and making informed data driven decisions.

Vorteile: Looker is incredibly easy to use, and it easily scales with your technical abilities. As an Analyst, I can create very easy to use self serve reports for stakeholders. This saves time and effort for both parties. Looker also has a very intuitive way of organizing data and letting you quickly visualize data in your warehouse. It is reliable and the data visualization options are abundant. Our leadership team is miles ahead of others I've seen because of how quickly they were able to learn how to use Looker.

Nachteile: I don't necessarily see this as a con, however I think there is a big opportunity to help guide some new users through some of the more technical setup of Looker. I relied on a mentor to help take me through LookML and Models/Explores, but I would have loved to have some in product help with this.

Controlled Analytics Exploration

Bewertet am 17.5.2018
Vincent W.
Sr Planning Analyst
Verwendete die Software für: Mehr als 1 Jahr
Quelle des Nutzers 
3/5
Gesamt
3/5
Benutzerfreundlichkeit
2/5
Eigenschaften & Funktionalitäten
4/5
Kundenbetreuung
4/5
Preis-Leistungs-Verhältnis
Wahrscheinlichkeit der Weiterempfehlung:
Unwahrscheinlich Äußerst wahrscheinlich

Kommentare: Like I said, it's a great tool for analysts that don't need a lot of flexibility or maybe just aren't used to working with a lot of data. To get the full value out of this software, you'll need a core group of experienced Data Analysts that can learn fast (to learn Lookers Table Calculation code which is similar to SQL) who can build a bunch of dashboards and views. You really don't want people who aren't savvy with data doing a lot of the creating because measures are always aggregated based on the dimensions you pull into each table...if a user forgets to add a specific dimension then measures could show the wrong value. This could be offset by having really good developers who architect the data in a way that doesn't allow this to happen.

Vorteile: It's a great data exploration tool for users who normally would get anxious when given a large dataset in something like Excel. It's generally simple to use and there can be unlimited Viewers (users at the lowest permissions level) through the enterprise product. Data Visualization is essentially done for you and Exploers (users at the second level of permissions) can build new visualizations & turn them into interactive dashboards. On the Looker platform, Explorers can locate a view (called an Explore) and then are given a list of dimensions and measures they can pull into a table. Users can create new dimensions using calculated fields and then save their views so any users with Viewer permissions (and up) can see what was put together.

Nachteile: With simplicity comes lack of flexibility. More skilled data analysts will want more flexibility than Looker can provide but at the same time you need to have highly skilled Data Analysts to be the Developers (high level of permissions) to set up the data so that less skilled analysts (the users who benefit from Looker most) who are Explorers don't build views that grossly misrepresent the data. My biggest pet peeve with this software as an Explorer is that you cannot make calculations on the base data...only the data that you pull into your table (called table calculations). That is a major feature that Tableau has that Looker does not have at the Explorer permission level. Of course developers can use LookML (Lookers data language) to create a new column...but a Developer license is more expensive and creating the fields take time and it's something you constantly will need.

A game changing data tool

Bewertet am 11.6.2019
Jonathan P.
Head of BI
Finanzdienstleistungen, 201-500 Mitarbeiter
Verwendete die Software für: Mehr als 2 Jahre
Quelle des Nutzers 
5/5
Gesamt
4/5
Benutzerfreundlichkeit
4/5
Eigenschaften & Funktionalitäten
5/5
Kundenbetreuung
4/5
Preis-Leistungs-Verhältnis
Wahrscheinlichkeit der Weiterempfehlung:
Unwahrscheinlich Äußerst wahrscheinlich

Kommentare: Looker is a game changing tool insofar as it provides a 21st century approach to data tooling that massively amplifies how organisations can get access to, explore and power applications through data without making sacrifices from an accuracy perspective. Looker's company culture is fantastic and the focus on customer support really helps to extent the impact of the product itself.

Vorteile: * LookML because it enables a scalable semantic layer wherein business rules can be defined in a single place and logic is code based thereby enabling version control, testing and auditing.
* Extendability because the data platform focus enables businesses to serve data to applications and people through a single component
* Customer experience focus

Nachteile: * It can be hard to navigate the huge volumes of content that users build on Looker and find the canonical/VIP products that are the foundation for any company

Lies weitere Bewertungen