Datahearts

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Datahearts’ approach

Datahearts rethinks data strategy.

We know the challenges of initiating, launching and executing data projects – often a tedious process.

Our mission is to make data projects fundamentally successful with a better approach.

Data Squads

We use a “data squad” (as we call a spe­cia­li­zed team of various pro­ject and data experts) to achieve the goals of your pro­ject com­pe­tently and skillfully.

The com­po­si­tion of your data squad is tail­o­red to the dimen­si­ons, com­ple­xity and scope of your pro­ject and gua­ran­tees ser­vice and sup­port of the hig­hest qua­lity throug­hout the entire pro­ject life­cy­cle.

More on Data Squads

Every job is uni­que. The­r­e­fore, a sin­gle solu­tion approach is not uni­ver­sally appli­ca­ble. Our team of spe­cia­lists is fami­liar with dif­fe­rent sce­na­rios and their typi­cal pro­blems. Our metho­do­logy fol­lows a struc­tu­red pro­cess:

  • Lis­ten carefully to the cli­ent
  • Rea­li­stic assess­ment of the chal­lenges
  • Sophisti­ca­ted design of cus­to­mi­sed solu­ti­ons
  • Ite­ra­tive test­ing and deve­lo­p­ment
  • For­mal vali­da­tion and aut­ho­ri­sa­tion pro­ces­ses
  • Metho­di­cal imple­men­ta­tion and con­so­li­da­tion

You’re so special

Bey­ond the tech­ni­cal aspects, we take respon­si­bi­lity for moni­to­ring the com­plete trans­for­ma­tion and for change manage­ment in all areas of the orga­ni­sa­tion. Our holi­stic approach ensu­res the over­all suc­cess of the pro­ject.

The anatomy of a small project

1. Joint strategy day

  • Matching the stra­te­gic cor­po­rate goals with your iden­ti­fied topic
  • Docu­men­ta­tion of reco­g­nisable chal­lenges
  • Initial deter­mi­na­tion of the value poten­tial asso­cia­ted with various use cases

one day

2. Reality check with internal and external experts

  • Alig­ning the value poten­tial of the use cases with the per­cei­ved value
  • Preli­mi­nary esti­mate of the requi­red effort and tech­ni­cal fea­si­bi­lity
  • Cate­go­ri­sa­tion of poten­tial initia­ti­ves using a stra­te­gic matrix

three days

3. Workshop to define recommended measures

  • Decis­i­ons on fur­ther steps
  • In-depth dis­cus­sion of the oppor­tu­ni­ties and asso­cia­ted risks
  • Joint deve­lo­p­ment of a carefully weigh­ted pro­ject plan

one day

Talk to us

For Hal­lo­ween 2023, we made a dis­coun­ted offer to finally put an end to unu­sed creepy data. Wiebke Apitzsch, pre­de­ces­sor of Juliane Berek, made a video in which she briefly intro­du­ces the typi­cal ana­tomy of a small data pro­ject (in Ger­man).

The anatomy of a large-scale project

1. (Re-)activation

  • Under­stan­ding the organisation’s stra­te­gic frame­work and brea­king it down into tac­ti­cal queries
  • Defi­ni­tion of use cases and cate­go­ri­sa­tion of their poten­tial value
  • Assess­ment of the tech­ni­cal requi­re­ments and esti­ma­tion of the asso­cia­ted costs
  • Effec­tive com­mu­ni­ca­tion of results and out­co­mes

appro­xi­m­ately three weeks

2. Kick-off

  • Defi­ni­tion of pro­ject manage­ment, mile­sto­nes and decis­ion points.
  • Break­down of the plan into spe­ci­fic work­flows and allo­ca­tion of respon­si­bi­li­ties to dif­fe­rent teams.
  • Initia­tion of the pro­ject and the cor­re­spon­ding work­flows

appro­xi­m­ately three to five weeks

3. Execution

  • Agile pro­ject manage­ment
  • Assump­tion of the neces­sary roles by the Data Squad
  • Main­tain con­ti­nuous com­mu­ni­ca­tion chan­nels
  • Hand­ling of excep­ti­ons and escala­ti­ons if neces­sary

appro­xi­m­ately 16+ weeks

4. Handover to operations

  • The pro­ject team laun­ches the first use case
  • After achie­ving posi­tive results in the MVP phase (Mini­mum Via­ble Pro­duct) and posi­tive mar­ket feed­back, a com­pre­hen­sive road­map is drawn up and the sub­se­quent pha­ses are imple­men­ted

Fade out

Talk to us

Want to know more?

Down­load the PDF of our com­pany pre­sen­ta­tion.