The Total Economic Impact™ Of Google BigQuery and Looker

Learn about the cost savings and business benefits enabled by BigQuery and Looker

Download the study

Nama depan
Nama belakang
Email bisnis
Kode Panggilan
  • (+1)
Nomor telepon bisnis
Jabatan
Nama perusahaan
  • Afganistan
  • Afrika Selatan
  • Albania
  • Aljazair
  • Amerika Serikat
  • Andorra
  • Angola
  • Anguilla
  • Antarktika
  • Antigua dan Barbuda
  • Arab Saudi
  • Argentina
  • Armenia
  • Aruba
  • Australia
  • Austria
  • Azerbaijan
  • Bahama
  • Bahrain
  • Bangladesh
  • Barbados
  • Belanda
  • Belarus
  • Belgia
  • Belize
  • Benin
  • Bermuda
  • Bhutan
  • Bolivia
  • Bosnia dan Herzegovina
  • Botswana
  • Brasil
  • Brunei
  • Bulgaria
  • Burkina Faso
  • Burundi
  • Ceko
  • Chad
  • Cile
  • Curaçao
  • Côte d’Ivoire
  • Denmark
  • Dominika
  • Ekuador
  • El Salvador
  • Eritrea
  • Estonia
  • Etiopia
  • Fiji
  • Filipina
  • Finlandia
  • Gabon
  • Gambia
  • Georgia
  • Georgia Selatan & Kep. Sandwich Selatan
  • Ghana
  • Gibraltar
  • Greenland
  • Grenada
  • Guadeloupe
  • Guam
  • Guatemala
  • Guinea
  • Guinea Ekuatorial
  • Guinea-Bissau
  • Guyana
  • Guyana Prancis
  • Haiti
  • Honduras
  • Hong Kong
  • Hungaria
  • India
  • Indonesia
  • Inggris Raya
  • Irak
  • Irlandia
  • Islandia
  • Israel
  • Italia
  • Jamaika
  • Jepang
  • Jerman
  • Jibuti
  • Kaledonia Baru
  • Kamboja
  • Kamerun
  • Kanada
  • Kazakhstan
  • Kenya
  • Kepulauan Cayman
  • Kepulauan Cocos (Keeling)
  • Kepulauan Cook
  • Kepulauan Falkland (Malvinas)
  • Kepulauan Faroe
  • Kepulauan Mariana Utara
  • Kepulauan Marshall
  • Kepulauan Norfolk
  • Kepulauan Pitcairn
  • Kepulauan Solomon
  • Kepulauan Svalbard dan Jan Mayen
  • Kepulauan Terluar AS
  • Kepulauan Turks dan Caicos
  • Kepulauan Virgin Amerika Serikat
  • Kepulauan Virgin Britania Raya
  • Kepulauan Wallis dan Futuna
  • Kirgizstan
  • Kiribati
  • Kolombia
  • Komoro
  • Kongo - Brazzaville
  • Kongo - Kinshasa
  • Korea Selatan
  • Kosta Rika
  • Kroasia
  • Kuwait
  • Laos
  • Latvia
  • Lebanon
  • Lesotho
  • Liberia
  • Libya
  • Liechtenstein
  • Lituania
  • Luksemburg
  • Madagaskar
  • Makau
  • Makedonia Utara
  • Maladewa
  • Malawi
  • Malaysia
  • Mali
  • Malta
  • Maroko
  • Martinik
  • Mauritania
  • Mauritius
  • Mayotte
  • Meksiko
  • Mesir
  • Mikronesia
  • Moldova
  • Monako
  • Mongolia
  • Montenegro
  • Montserrat
  • Mozambik
  • Myanmar (Burma)
  • Namibia
  • Nauru
  • Nepal
  • Niger
  • Nigeria
  • Nikaragua
  • Niue
  • Norwegia
  • Oman
  • Pakistan
  • Palau
  • Palestina
  • Panama
  • Papua Nugini
  • Paraguay
  • Peru
  • Polandia
  • Polinesia Prancis
  • Portugal
  • Prancis
  • Puerto Riko
  • Pulau Ascension
  • Pulau Bouvet
  • Pulau Heard dan Kepulauan McDonald
  • Pulau Natal
  • Qatar
  • Republik Afrika Tengah
  • Republik Dominika
  • Rumania
  • Rusia
  • Rwanda
  • Réunion
  • Sahara Barat
  • Saint Barthélemy
  • Saint Helena
  • Saint Kitts dan Nevis
  • Saint Lucia
  • Saint Martin
  • Saint Pierre dan Miquelon
  • Saint Vincent dan Grenadine
  • Samoa
  • Samoa Amerika
  • San Marino
  • Sao Tome dan Principe
  • Selandia Baru
  • Senegal
  • Serbia
  • Seychelles
  • Sierra Leone
  • Singapura
  • Sint Maarten
  • Siprus
  • Slovakia
  • Slovenia
  • Somalia
  • Spanyol
  • Sri Lanka
  • Sudan Selatan
  • Suriname
  • Swedia
  • Swiss
  • Taiwan
  • Tajikistan
  • Tanjung Verde
  • Tanzania
  • Thailand
  • Timor Leste
  • Tiongkok
  • Togo
  • Tokelau
  • Tonga
  • Trinidad dan Tobago
  • Tunisia
  • Turki
  • Turkmenistan
  • Tuvalu
  • Uganda
  • Ukraina
  • Uni Emirat Arab
  • Uruguay
  • Uzbekistan
  • Vanuatu
  • Vatikan
  • Venezuela
  • Vietnam
  • Wilayah Inggris di Samudra Hindia
  • Wilayah Selatan Prancis
  • Yaman
  • Yordania
  • Yunani
  • Zambia
  • Zimbabwe
  • eSwatini
  • Alabama
  • Alaska
  • American Samoa
  • Arizona
  • Arkansas
  • Armed Forces America
  • Armed Forces Europe
  • Armed Forces Pacific
  • California
  • Colorado
  • Connecticut
  • Delaware
  • District of Columbia
  • Florida
  • Georgia
  • Guam
  • Hawaii
  • Idaho
  • Illinois
  • Indiana
  • Iowa
  • Kansas
  • Kentucky
  • Louisiana
  • Maine
  • Maryland
  • Massachusetts
  • Michigan
  • Minnesota
  • Mississippi
  • Missouri
  • Montana
  • Nebraska
  • Nevada
  • New Hampshire
  • New Jersey
  • New Mexico
  • New York
  • North Carolina
  • North Dakota
  • Northern Mariana Islands
  • Ohio
  • Oklahoma
  • Oregon
  • Palau
  • Pennsylvania
  • Puerto Rico
  • Rhode Island
  • South Carolina
  • South Dakota
  • Tennessee
  • Texas
  • United States Minor Outlying Islands
  • US Virgin Islands
  • Utah
  • Vermont
  • Virginia
  • Washington
  • West Virginia
  • Wisconsin
  • Wyoming
  • Periklanan & Pemasaran
  • Agrikultur
  • Otomotif
  • Barang Konsumsi
  • Pendidikan
  • Listrik & Elektronik
  • Energi & Utilitas
  • Jasa Keuangan
  • Makanan, Minuman & Restoran
  • Game
  • Pemerintah
  • Layanan Kesehatan & Ilmu Hayati
  • Manufaktur
  • Media & Hiburan
  • Nonprofit
  • Layanan Profesional & Bisnis
  • Retail & Grosir
  • Teknologi
  • Telekomunikasi
  • Pariwisata & Rekreasi
  • Logistik
  • Lainnya
Daftarkan saya untuk menerima berita, info terbaru produk, informasi acara, dan penawaran spesial tentang Google Cloud dari Google.

Saya memahami bahwa data pribadi saya akan diproses sesuai Kebijakan Privasi Google.

Forrester Consulting conducted a Google-commissioned Total Economic Impact™ (TEI) study to examine the potential return on investment (ROI) organizations may realize by deploying BigQuery and Looker. 

Forrester found that prior to using BigQuery and Looker, customers struggled with high technical burdens on data teams, lack of easy access to insights, slow response times on queries resulting in an inability to scale analytics as needed, and data chaos stemming from a lack of common language and trust in their data tools. These challenges impacted efficiency as well as the business value organizations could create from their data.

The study found that, for a composite organization based on interviewed customers, switching to BigQuery and Looker yielded the following results over three years: 


  • 205% total ROI

  • 5,200 hours annually of data analyst and engineering time saved

  • $1.9M in technical labor savings

  • $6M in savings from improved user productivity

  • ~$1M in retired legacy tool savings

  • Over $1M of profit from increased customer retention

"[End users] feel like they own their data and data is integrated with the decisions and what they are doing daily. That is just as powerful as the time savings that goes with it."

- Senior analytics engineer, Sports industry


Related resources