Cookie Settings

By clicking "Agree," you consent to the storage of cookies on your device to enhance site navigation, analyze site usage, and support our marketing efforts. For more information, please refer to our Privacy Policy.

Data driven.
Future focused.

We are convinced that data is the key to success in today's world.
Abstrakte Form eines Pfades des Data Institute

That is what we do at
The Data Institute

A first insight into our consulting services, from traditional data processing, reporting and BI to audits and analyses on data strategy and artificial intelligence — always with a focus on impact and tangible use cases.

<svg width=" 100%" height=" 100%" viewBox="0 0 62 62" fill="none" xmlns="http://www.w3.org/2000/svg"> <g clip-path="url(#clip0_5879_2165)"> <path d="M21.3122 46.5H40.6872V50.375H21.3122V46.5ZM25.1872 54.25H36.8122V58.125H25.1872V54.25ZM30.9997 3.875C25.8611 3.875 20.933 5.91629 17.2995 9.54981C13.666 13.1833 11.6247 18.1114 11.6247 23.25C11.4937 26.0658 12.0331 28.8726 13.1985 31.4392C14.364 34.0059 16.1222 36.2592 18.3285 38.0138C20.266 39.8156 21.3122 40.8425 21.3122 42.625H25.1872C25.1872 39.06 23.0366 37.0644 20.9441 35.1462C19.1332 33.7595 17.69 31.9499 16.7408 29.8759C15.7917 27.802 15.3655 25.5269 15.4997 23.25C15.4997 19.1391 17.1327 15.1967 20.0396 12.2898C22.9464 9.38303 26.8889 7.75 30.9997 7.75C35.1106 7.75 39.0531 9.38303 41.9599 12.2898C44.8667 15.1967 46.4997 19.1391 46.4997 23.25C46.6317 25.5286 46.2025 27.8047 45.2499 29.8788C44.2973 31.9529 42.8504 33.7616 41.036 35.1462C38.9628 37.0837 36.8122 39.0213 36.8122 42.625H40.6872C40.6872 40.8425 41.7141 39.8156 43.671 37.9944C45.8757 36.2428 47.6331 33.9929 48.7986 31.4295C49.964 28.8662 50.5042 26.0628 50.3747 23.25C50.3747 20.7056 49.8736 18.1862 48.8999 15.8355C47.9262 13.4848 46.499 11.3489 44.6999 9.54981C42.9008 7.75067 40.7649 6.32352 38.4142 5.34983C36.0635 4.37615 33.5441 3.875 30.9997 3.875Z" fill="currentColor"/> </g> <defs> <clipPath id="clip0_5879_2165"> <rect width="62" height="62" fill="currentColor"/> </clipPath> </defs> </svg>

Data Strategy

When what happens how and why — that explains the data strategy.

<svg width=" 100%" height=" 100%" viewBox="0 0 62 62" fill="none" xmlns="http://www.w3.org/2000/svg"> <g clip-path="url(#clip0_5879_2976)"> <path d="M60.0625 58.125H56.1875V52.3125C56.1875 50.7709 55.5751 49.2925 54.4851 48.2024C53.395 47.1124 51.9166 46.5 50.375 46.5H42.625C41.0834 46.5 39.605 47.1124 38.5149 48.2024C37.4249 49.2925 36.8125 50.7709 36.8125 52.3125V58.125H32.9375V52.3125C32.9375 49.7432 33.9581 47.2792 35.7749 45.4624C37.5917 43.6456 40.0557 42.625 42.625 42.625H50.375C52.9443 42.625 55.4083 43.6456 57.2251 45.4624C59.0419 47.2792 60.0625 49.7432 60.0625 52.3125V58.125ZM46.5 23.25C47.6496 23.25 48.7734 23.5909 49.7293 24.2296C50.6851 24.8683 51.4301 25.7761 51.87 26.8382C52.31 27.9002 52.4251 29.0689 52.2008 30.1965C51.9765 31.324 51.423 32.3597 50.6101 33.1726C49.7972 33.9855 48.7615 34.539 47.634 34.7633C46.5065 34.9876 45.3377 34.8725 44.2757 34.4326C43.2136 33.9926 42.3058 33.2476 41.6671 32.2917C41.0284 31.3359 40.6875 30.2121 40.6875 29.0625C40.6875 27.5209 41.2999 26.0425 42.3899 24.9524C43.48 23.8624 44.9584 23.25 46.5 23.25ZM46.5 19.375C44.584 19.375 42.711 19.9432 41.1179 21.0076C39.5248 22.0721 38.2831 23.5851 37.5499 25.3553C36.8167 27.1254 36.6248 29.0732 36.9986 30.9524C37.3724 32.8316 38.2951 34.5578 39.6499 35.9126C41.0047 37.2674 42.7309 38.1901 44.6101 38.5639C46.4893 38.9377 48.4371 38.7458 50.2072 38.0126C51.9774 37.2794 53.4904 36.0377 54.5549 34.4446C55.6193 32.8515 56.1875 30.9785 56.1875 29.0625C56.1875 26.4932 55.1669 24.0292 53.3501 22.2124C51.5333 20.3956 49.0693 19.375 46.5 19.375ZM29.0625 42.625H25.1875V36.8125C25.1875 35.2709 24.5751 33.7925 23.4851 32.7024C22.395 31.6124 20.9166 31 19.375 31H11.625C10.0834 31 8.605 31.6124 7.51494 32.7024C6.42489 33.7925 5.8125 35.2709 5.8125 36.8125V42.625H1.9375V36.8125C1.9375 34.2432 2.95814 31.7792 4.7749 29.9624C6.59166 28.1456 9.05572 27.125 11.625 27.125H19.375C21.9443 27.125 24.4083 28.1456 26.2251 29.9624C28.0419 31.7792 29.0625 34.2432 29.0625 36.8125V42.625ZM15.5 7.75C16.6496 7.75 17.7734 8.0909 18.7293 8.72958C19.6851 9.36827 20.4301 10.2761 20.8701 11.3382C21.31 12.4002 21.4251 13.5689 21.2008 14.6965C20.9765 15.824 20.423 16.8597 19.6101 17.6726C18.7972 18.4855 17.7615 19.039 16.634 19.2633C15.5064 19.4876 14.3377 19.3725 13.2757 18.9326C12.2136 18.4926 11.3058 17.7476 10.6671 16.7918C10.0284 15.8359 9.6875 14.7121 9.6875 13.5625C9.6875 12.0209 10.2999 10.5425 11.3899 9.45244C12.48 8.36239 13.9584 7.75 15.5 7.75ZM15.5 3.875C13.584 3.875 11.711 4.44316 10.1179 5.50764C8.52481 6.57211 7.28314 8.08509 6.54992 9.85525C5.81669 11.6254 5.62485 13.5732 5.99864 15.4524C6.37244 17.3316 7.29508 19.0578 8.6499 20.4126C10.0047 21.7674 11.7309 22.6901 13.6101 23.0639C15.4893 23.4377 17.4371 23.2458 19.2072 22.5126C20.9774 21.7794 22.4904 20.5377 23.5549 18.9446C24.6193 17.3515 25.1875 15.4785 25.1875 13.5625C25.1875 10.9932 24.1669 8.52916 22.3501 6.7124C20.5333 4.89564 18.0693 3.875 15.5 3.875Z" fill="currentColor"/> </g> <defs> <clipPath id="clip0_5879_2976"> <rect width="62" height="62" fill="currentColor"/> </clipPath> </defs> </svg>

Data Culture

A culture and the processes that make everything possible together.

<svg width=" 100%" height=" 100%" viewBox="0 0 62 62" fill="none" xmlns="http://www.w3.org/2000/svg"> <g clip-path="url(#clip0_5879_3513)"> <path d="M19.376 60.0625H11.626C10.5992 60.0594 9.61537 59.6502 8.88933 58.9242C8.16329 58.1981 7.75404 57.2143 7.75098 56.1875V42.625C6.72421 42.6219 5.74037 42.2127 5.01433 41.4867C4.28829 40.7606 3.87904 39.7768 3.87598 38.75V27.125C3.86178 26.3578 4.00243 25.5956 4.2895 24.884C4.57658 24.1723 5.0042 23.5259 5.5468 22.9833C6.08939 22.4407 6.73582 22.0131 7.44744 21.726C8.15906 21.439 8.92126 21.2983 9.68848 21.3125H21.3135C22.0807 21.2983 22.8429 21.439 23.5545 21.726C24.2661 22.0131 24.9126 22.4407 25.4552 22.9833C25.9977 23.5259 26.4254 24.1723 26.7124 24.884C26.9995 25.5956 27.1402 26.3578 27.126 27.125V38.75C27.1229 39.7768 26.7137 40.7606 25.9876 41.4867C25.2616 42.2127 24.2777 42.6219 23.251 42.625V56.1875C23.2479 57.2143 22.8387 58.1981 22.1126 58.9242C21.3866 59.6502 20.4027 60.0594 19.376 60.0625ZM9.68848 25.1875C9.42999 25.172 9.17114 25.2114 8.92903 25.3033C8.68692 25.3952 8.46706 25.5374 8.28395 25.7205C8.10084 25.9036 7.95865 26.1235 7.86678 26.3656C7.77491 26.6077 7.73544 26.8665 7.75098 27.125V38.75H11.626V56.1875H19.376V38.75H23.251V27.125C23.2665 26.8665 23.227 26.6077 23.1352 26.3656C23.0433 26.1235 22.9011 25.9036 22.718 25.7205C22.5349 25.5374 22.315 25.3952 22.0729 25.3033C21.8308 25.2114 21.572 25.172 21.3135 25.1875H9.68848ZM15.501 19.375C13.9682 19.375 12.4698 18.9205 11.1953 18.0689C9.92083 17.2173 8.92749 16.0069 8.34091 14.5908C7.75433 13.1747 7.60086 11.6164 7.89989 10.1131C8.19893 8.6097 8.93704 7.22878 10.0209 6.14493C11.1048 5.06107 12.4857 4.32295 13.989 4.02392C15.4924 3.72488 17.0506 3.87836 18.4668 4.46494C19.8829 5.05152 21.0933 6.04485 21.9449 7.31933C22.7964 8.59381 23.251 10.0922 23.251 11.625C23.2484 13.6796 22.4311 15.6494 20.9782 17.1022C19.5254 18.5551 17.5556 19.3724 15.501 19.375ZM15.501 7.75C14.7346 7.75 13.9854 7.97727 13.3481 8.40306C12.7109 8.82885 12.2142 9.43404 11.9209 10.1421C11.6277 10.8502 11.5509 11.6293 11.7004 12.381C11.85 13.1327 12.219 13.8231 12.7609 14.365C13.3029 14.907 13.9933 15.276 14.745 15.4255C15.4967 15.5751 16.2758 15.4983 16.9839 15.205C17.6919 14.9117 18.2971 14.4151 18.7229 13.7778C19.1487 13.1406 19.376 12.3914 19.376 11.625C19.375 10.5976 18.9664 9.61258 18.2399 8.8861C17.5134 8.15962 16.5284 7.75103 15.501 7.75ZM55.7351 8.246C54.278 6.76535 52.3111 5.89611 50.2353 5.81546C48.1595 5.73482 46.131 6.44885 44.5635 7.812C42.9959 6.44885 40.9675 5.73482 38.8917 5.81546C36.8159 5.89611 34.8489 6.76535 33.3918 8.246C31.8601 9.81001 31.0022 11.912 31.0022 14.1011C31.0022 16.2903 31.8601 18.3922 33.3918 19.9563L44.5596 31.2713L44.5635 31.2674L44.5673 31.2693L55.7351 19.9563C57.2668 18.3922 58.1247 16.2903 58.1247 14.1011C58.1247 11.912 57.2668 9.81001 55.7351 8.246ZM52.9761 17.2341L44.5673 25.7533L44.5635 25.7494L44.5596 25.7533L36.1509 17.2341C35.3299 16.3979 34.8699 15.2729 34.8699 14.1011C34.8699 12.9293 35.3299 11.8043 36.1509 10.9682C36.9696 10.1724 38.0664 9.72714 39.2082 9.72714C40.35 9.72714 41.4468 10.1724 42.2656 10.9682L44.5538 13.3068L44.5635 13.2971L44.5732 13.3068L46.8594 10.9682C47.6783 10.1718 48.7755 9.7262 49.9178 9.7262C51.06 9.7262 52.1572 10.1718 52.9761 10.9682C53.7971 11.8043 54.257 12.9293 54.257 14.1011C54.257 15.2729 53.7971 16.3979 52.9761 17.2341Z" fill="currentColor"/> </g> <defs> <clipPath id="clip0_5879_3513"> <rect width="62" height="62" fill="currentColor"/> </clipPath> </defs> </svg>

Customer Centricity

The focus is always on customers and their wishes how to measure it and translate insights into action.

<svg width=" 100%" height=" 100%" viewBox="0 0 62 62" fill="none" xmlns="http://www.w3.org/2000/svg"> <g clip-path="url(#clip0_5994_7571)"> <path d="M52.3125 46.5C51.4494 46.5039 50.5984 46.7026 49.8228 47.0813L41.4916 38.75H34.875V42.625H39.8854L47.0832 49.8228C46.7043 50.5984 46.505 51.4494 46.5 52.3125C46.5 53.4621 46.8409 54.5859 47.4796 55.5418C48.1183 56.4976 49.0261 57.2426 50.0882 57.6826C51.1502 58.1225 52.3189 58.2376 53.4465 58.0133C54.574 57.789 55.6097 57.2355 56.4226 56.4226C57.2355 55.6097 57.789 54.574 58.0133 53.4465C58.2376 52.319 58.1225 51.1503 57.6825 50.0882C57.2426 49.0261 56.4976 48.1183 55.5417 47.4796C54.5859 46.8409 53.4621 46.5 52.3125 46.5ZM52.3125 54.25C51.9293 54.25 51.5547 54.1364 51.2361 53.9235C50.9175 53.7106 50.6691 53.408 50.5225 53.054C50.3758 52.6999 50.3375 52.3104 50.4122 51.9345C50.487 51.5587 50.6715 51.2135 50.9425 50.9425C51.2134 50.6715 51.5587 50.487 51.9345 50.4122C52.3103 50.3375 52.6999 50.3758 53.0539 50.5225C53.408 50.6691 53.7106 50.9175 53.9235 51.2361C54.1364 51.5547 54.25 51.9293 54.25 52.3125C54.25 52.8264 54.0459 53.3192 53.6825 53.6825C53.3192 54.0459 52.8264 54.25 52.3125 54.25ZM52.3125 25.1875C51.1143 25.1911 49.9465 25.5655 48.9696 26.2593C47.9927 26.9531 47.2546 27.9323 46.8565 29.0625H34.875V32.9375H46.8565C47.2134 33.9395 47.8389 34.8242 48.6646 35.4948C49.4903 36.1653 50.4845 36.5961 51.5384 36.7399C52.5923 36.8837 53.6655 36.735 54.6407 36.3101C55.6158 35.8852 56.4554 35.2005 57.0678 34.3307C57.6801 33.4609 58.0416 32.4396 58.1127 31.3783C58.1838 30.317 57.9618 29.2565 57.471 28.3128C56.9802 27.3691 56.2395 26.5785 55.3297 26.0273C54.42 25.4761 53.3762 25.1856 52.3125 25.1875ZM52.3125 32.9375C51.9293 32.9375 51.5547 32.8239 51.2361 32.611C50.9175 32.3981 50.6691 32.0955 50.5225 31.7415C50.3758 31.3874 50.3375 30.9979 50.4122 30.622C50.487 30.2462 50.6715 29.9009 50.9425 29.63C51.2134 29.359 51.5587 29.1745 51.9345 29.0997C52.3103 29.025 52.6999 29.0633 53.0539 29.21C53.408 29.3566 53.7106 29.605 53.9235 29.9236C54.1364 30.2422 54.25 30.6168 54.25 31C54.25 31.5139 54.0459 32.0067 53.6825 32.37C53.3192 32.7334 52.8264 32.9375 52.3125 32.9375ZM52.3125 3.875C50.7714 3.87654 49.2939 4.48942 48.2041 5.57914C47.1144 6.66887 46.5015 8.1464 46.5 9.6875C46.5066 10.6157 46.738 11.5284 47.1742 12.3477L39.9048 19.375H34.875V23.25H41.4702L49.9953 15.0118C50.7872 15.3571 51.6461 15.5215 52.5096 15.493C53.373 15.4644 54.2193 15.2438 54.9867 14.8469C55.7541 14.4501 56.4234 13.8872 56.9458 13.1991C57.4682 12.511 57.8306 11.715 58.0065 10.8692C58.1825 10.0234 58.1677 9.14899 57.9631 8.30963C57.7585 7.47027 57.3694 6.68709 56.8239 6.01711C56.2785 5.34712 55.5905 4.8072 54.8101 4.43664C54.0297 4.06608 53.1764 3.87421 52.3125 3.875ZM52.3125 11.625C51.9293 11.625 51.5547 11.5114 51.2361 11.2985C50.9175 11.0856 50.6691 10.783 50.5225 10.429C50.3758 10.0749 50.3375 9.68535 50.4122 9.30951C50.487 8.93368 50.6715 8.58845 50.9425 8.31748C51.2134 8.04652 51.5587 7.86199 51.9345 7.78723C52.3103 7.71247 52.6999 7.75084 53.0539 7.89749C53.408 8.04413 53.7106 8.29247 53.9235 8.61109C54.1364 8.92971 54.25 9.3043 54.25 9.6875C54.25 10.2014 54.0459 10.6942 53.6825 11.0575C53.3192 11.4209 52.8264 11.625 52.3125 11.625Z" fill="currentColor"/> <path d="M34.875 11.625H38.75V7.75H34.875C33.7709 7.75369 32.6804 7.99469 31.6775 8.45667C30.6747 8.91866 29.7829 9.59082 29.0625 10.4276C28.3421 9.59082 27.4503 8.91866 26.4475 8.45667C25.4446 7.99469 24.3541 7.75369 23.25 7.75H21.3125C16.6894 7.75513 12.257 9.59393 8.98799 12.863C5.71893 16.132 3.88013 20.5644 3.875 25.1875V36.8125C3.88013 41.4356 5.71893 45.868 8.98799 49.137C12.257 52.4061 16.6894 54.2449 21.3125 54.25H23.25C24.3541 54.2463 25.4446 54.0053 26.4475 53.5433C27.4503 53.0813 28.3421 52.4092 29.0625 51.5724C29.7829 52.4092 30.6747 53.0813 31.6775 53.5433C32.6804 54.0053 33.7709 54.2463 34.875 54.25H38.75V50.375H34.875C33.8476 50.374 32.8626 49.9654 32.1361 49.2389C31.4096 48.5124 31.001 47.5274 31 46.5V15.5C31.001 14.4726 31.4096 13.4876 32.1361 12.7611C32.8626 12.0346 33.8476 11.626 34.875 11.625ZM23.25 50.375H21.3125C18.0545 50.3692 14.9073 49.1916 12.4457 47.0572C9.9841 44.9229 8.37242 41.9743 7.905 38.75H11.625V34.875H7.75V27.125H13.5625C15.1036 27.1235 16.5811 26.5106 17.6709 25.4209C18.7606 24.3311 19.3735 22.8536 19.375 21.3125V17.4375H15.5V21.3125C15.5 21.8264 15.2959 22.3192 14.9325 22.6825C14.5692 23.0459 14.0764 23.25 13.5625 23.25H7.905C8.37242 20.0257 9.9841 17.0771 12.4457 14.9428C14.9073 12.8084 18.0545 11.6308 21.3125 11.625H23.25C24.2774 11.626 25.2624 12.0346 25.9889 12.7611C26.7154 13.4876 27.124 14.4726 27.125 15.5V23.25H23.25V27.125H27.125V34.875H23.25C21.7089 34.8765 20.2314 35.4894 19.1416 36.5791C18.0519 37.6689 17.439 39.1464 17.4375 40.6875V44.5625H21.3125V40.6875C21.3125 40.1736 21.5166 39.6808 21.88 39.3175C22.2433 38.9541 22.7361 38.75 23.25 38.75H27.125V46.5C27.124 47.5274 26.7154 48.5124 25.9889 49.2389C25.2624 49.9654 24.2774 50.374 23.25 50.375Z" fill="currentColor"/> </g> <defs> <clipPath id="clip0_5994_7571"> <rect width="62" height="62" fill="currentColor"/> </clipPath> </defs> </svg>

Machine Learning

Not a gimmick, but real added value

Abstrakte Form eines Pfades

All services

And there is much more that The Data Institute offers in the area of data...

Our way of working
is enabling customers

Our three focal areas of culture, organization and architecture enable us to achieve tailored empowerment together with our partners.

Through our consulting projects in recent years, we have noticed that it is precisely this framework that leads to joint long-term success.

Impact

Generate value with data

Use Cases

Start with the right projects

organization

WHO works together?

culture

HOW do you work together?

architecture

WHAT do you work with?

Business Processes

How is your company structured?

Abstrakte Form eines Pfades des Data Institute

Experiences firsthand

“The Data Institute met our DevOps challenge quickly and effectively. We were impressed by their expertise and reliability. We'll be happy to get back to you if we need expert help. A team you can trust! ”
Comcave Data Institute Kunde Sascha Lorenz

Sascha Lorenz

Director of Marketing
COMCAVE.GROUP

That's who we are.
A dedicated and highly motivated data team!

We are experts from a wide range of fields with years of expertise — and plenty of motivation for data!

We're on fire when it comes to implementing data projects, love developing strategies and creating the perfect code. And we also have lots of fun doing it together!

A team as diverse as it can be — we all have different strengths and weaknesses that we can use together wonderfully.

Data Team Mike Kamysz Thomas Borlik Data Services

Why Data Institute?

Focus on enablement

For us, the focus of our work is to motivate and train the entire company to use data independently and to be able to make data-driven decisions.

Data & customer centered

We not only allow disciplines and technologies to work together, but also people, skills and experience. And that's why we combine our knowledge of data with a focus on customers — an unbeatable combination.

Holistic perspectives

We are not only working on small adjustments, but also on the overall concept. Because this is the only way to build up a data-driven organization in the long term that no longer makes decisions based on instinct.

Personal contacts

We are close to our customers — and that includes personal and individual support. In every project, there are personal contacts, both in consulting and in operational implementation by our engineers.

Data Beratung Data Service Data Consulting

Knowledge all about data

Do you want to learn more about data or find out more about us? Then take a look at our ever growing library of knowledge. We do not only have blog articles where you can find interesting insights, but we also maintain a glossary with detailed explanations about specific terms. But we also host webinars to train you on the most interesting and up-to-date topics.
And of course, there are also our white papers, in which we explain procedures and best practices!

Abstrakte Form eines Pfades des Data Institute

blog

Even more knowledge about data

Machine Learning Data Institute Künstliche Intelligenz

webinars

First-hand knowledge from our experts

Abstrakte Form eines Pfades des Data Institute

glossary

Bundled know-how for data enthusiasts

Events all about data

Do you want to talk about data with like-minded people? Network? Learning something new again in a relaxed atmosphere? Get inspired? Then our events right for you.

Data Meet Ups

A relaxing evening or a cozy lunch with other data enthusiasts? Just talk about projects and data? These are our meet ups.

Data Nights

Do you want to learn hands-on and go straight into implementation? Work on interdisciplinary issues? Then our Data Nights are the right thing for you and your thirst for knowledge.

Data news for pros

Want to know more? Then subscribe to our newsletter! Regular news from the data world about new developments, tools, best practices and events!

Abstrakte Form eines Pfades des Data Institute