Next-generation services

We sup­port you in kee­ping up with the­se chan­ges and help you to beco­me more of a proac­ti­ve “doer” and less of a pas­si­ve “reac­tor.” As con­sul­tants, ser­vice pro­vi­ders and part­ners, we cover all are­as of your com­pa­ny – from IT infra­st­ruc­tu­re, IT app­li­ca­ti­on, demand manage­ment in your depart­ments and busi­ness units, to gene­ral manage­ment and the board of direc­tors. What dri­ves us? Our expe­ri­ence and curio­si­ty, as well as our abi­li­ty to think abs­tract­ly and with a sen­se of pro­por­ti­on – which also shape our our spec­trum of ser­vices for you:

  • Stra­te­gies for buil­ding com­­pa­­ny-wide digi­tal plat­forms
  • Con­cepts for data and infor­ma­ti­on manage­ment
  • Deve­lo­p­ment of gui­de­li­nes and pro­ces­ses for gover­nan­ce, secu­ri­ty and data pro­tec­tion
  • Sys­tem archi­tec­tures

 

  • Tech­ni­cal and busi­ness mode­ling of dedi­ca­ted infor­ma­ti­on sys­tems
  • App­li­ca­ti­ons of arti­fi­cial intel­li­gence and machi­ne lear­ning
  • Con­cepts for the cloud and hybrid infra­st­ruc­tu­re
  • Con­cre­te imple­men­ta­ti­on, com­mis­sio­ning, and sup­port throughout all pha­ses

 

Data is the raw material – processing it is the refinement. This, in turn, is the foundation for new digital products, visual analysis, artificial intelligence, and machine learning.

 

Welcome to the future

Next Generation Business Intelligence & Intelligent Cloud

 

Datenserver
Data lakes, data platforms, modern data warehouses

The­se are app­li­ca­ti­ons invol­ving data lakes, cloud data wareh­ouses for big data, IoT, strea­ming, real-time, and batch, as well as a basis for self-ser­­vice BI, arti­fi­cial intel­li­gence, and data sci­en­tists.

Künstliche Intelligenz
Artificial intelligence, machine learning, cognitive services, edge computing

Inclu­des the deve­lo­p­ment of intel­li­gent pro­ce­du­res based on arti­fi­cial intel­li­gence for pre­dic­ti­ve main­ten­an­ce, cau­se root ana­ly­tics, time­se­ries pre­dic­tion and recom­men­da­ti­on engi­nes. Plus com­ple­te app­li­ca­ti­on life-cycle manage­ment from the deve­lo­p­ment pro­cess to deploy­ment, ope­ra­ti­on and infra­st­ruc­tu­re inclu­ding edge com­pu­ting (visi­on, speech reco­gni­ti­on, lan­guage under­stan­ding, bot inte­gra­ti­on).

Dashboard analytics
Self-service business intelligence and collaboration

This inclu­des buil­ding solu­ti­ons based on Micro­soft Power BI for com­­pa­­ny-wide or depart­ment­al repor­ting, ana­ly­sis, and self-ser­­vice BI.

Cloud enablement, cloud automation

This invol­ves solu­ti­ons, struc­tures and pro­ces­ses for the com­mis­sio­ning and inte­gra­ti­on of cloud-based resour­ces as an exten­si­on or repla­ce­ment for exis­ting infra­st­ruc­tu­re.

SAP data platforms, connectivity and integration

Deve­lo­p­ment of SAP-spe­ci­­fic infor­ma­ti­on plat­forms, real-time con­nec­tion to data lakes, inte­gra­ti­on into self-ser­­vice BI solu­ti­ons such as Micro­soft Power BI, deve­lo­p­ment of hybrid plat­forms from SAP and Micro­soft Azu­re.

How we can help you

Fields of expertise

 

Data platform/data lake concepts and processes

Here is our ambi­tious goal to build a cen­tral and com­pre­hen­si­ve data plat­form for you – a “sin­gle point of data.” This requi­res intel­li­gent­ly mode­led struc­tures and pro­ces­ses. In addi­ti­on to prac­ti­ca­li­ty and relia­bi­li­ty, simp­le main­ten­an­ce and agi­le deve­lo­p­ment opti­ons are just as important as tracea­bi­li­ty and com­pli­an­ce with data pro­tec­tion and data secu­ri­ty requi­re­ments.

We deve­lop data orga­niz­a­ti­on con­cepts and logi­cal data archi­tec­tures for your com­pa­ny, estab­lish data cata­logs, data lineage, mas­ter data manage­ment as well as data qua­li­ty and data ste­wardship, and ensu­re data gover­nan­ce, data secu­ri­ty and GDPR/DSGVO com­pli­an­ce.

Self-Service BI concepts and processes

“Self-ser­­vice” sug­gests that the­re is no lon­ger any need for cen­tral gui­de­li­nes and con­cepts. But the oppo­si­te is the case. The more design free­dom is shifted to the spe­cia­list depart­ments, the more care­ful­ly the under­ly­ing basis must be pre­pa­red and the pro­ces­ses defi­ned.

Cor­re­spon­ding topics inclu­de demand ana­ly­sis and con­trol, expec­ta­ti­on manage­ment, usa­ge con­cepts, orga­niz­a­tio­nal deve­lo­p­ment, data manage­ment pro­ces­ses, con­si­de­ra­ti­on of com­pli­an­ce gui­de­li­nes, aut­ho­riz­a­ti­on con­cepts, inte­gra­ti­on into data lake con­cepts, agree­ment of SLAs, initi­al and con­ti­nuous trai­ning as well as roll­out.

Modeling, automation, application life-cycle management

In the area of dedi­ca­ted infor­ma­ti­on sys­tems, we model struc­tures and levels for data manage­ment and trans­for­ma­ti­on along your pro­cess chains. Tra­di­tio­nal data wareh­ouse con­cepts and ETL pro­ces­ses are exten­ded or trans­fer­red into data lake con­cepts and ELT approa­ches.

Depen­ding on the cha­rac­ter of the data, the requi­re­ments for the final qua­li­ty of the pro­ces­sed data, the urgen­cy of the task and the long-term needs, dif­fe­rent con­cepts come into play. This results in domains of vary­ing data qua­li­ty – from raw data, no or litt­le cura­ti­on, finest gra­nu­la­ri­ty, and maxi­mum time­li­ness, up to strict­ly cura­ted data in terms of tra­di­tio­nal data wareh­ouse con­cepts. Depen­ding on the requi­re­ments and app­li­ca­ti­on sce­n­a­rio, all gra­dati­ons in bet­ween are also pos­si­ble.

We cover the tra­di­tio­nal data wareh­ouse and data mart con­cepts accord­ing to Inmon and Kim­ball, data vault mode­ling (CDVP2 cer­ti­fied) accord­ing to Lin­s­tedt as well as modern lamb­da archi­tec­tures and suc­ces­sor con­cepts for real-time pro­ces­sing, real-time ana­ly­sis, strea­ming, and IoT requi­re­ments.

Our ser­vices also inclu­de the deve­lo­p­ment of com­ple­te auto­ma­ti­on frame­works for the meta­­da­­ta-dri­­ven genera­ti­on of struc­tures and data trans­for­ma­ti­on packa­ges, pro­cess chain con­trol, error hand­ling, log­ging and moni­to­ring as well as app­li­ca­ti­on life-cycle manage­ment with all aspects of deve­lo­p­ment pro­ces­ses from source code manage­ment, tes­ting, deploy­ment, auto­ma­ti­on to “con­ti­nuous inte­gra­ti­on.”

Technical models

In the area of busi­ness app­li­ca­ti­ons, we have mas­te­red mul­ti­di­men­sio­nal mode­ling (OLAP, MDX, DAX). For dedi­ca­ted app­li­ca­ti­on are­as, we deve­lop spe­cial ana­ly­ti­cal models that con­tain all tech­ni­cal defi­ni­ti­ons and spe­ci­fics. Per­spec­ti­ves, hier­ar­chi­cal struc­tures and key figu­res of the busi­ness logic are for­mu­la­ted in models and form the basis for repor­ting, dash­boards as well as for visu­al, inter­ac­ti­ve and dyna­mic ana­ly­ses and the area of self-ser­­vice BI.

In addi­ti­on to tech­ni­cal exper­ti­se, we can score points here with our high level of pro­fes­sio­nal under­stan­ding. Our expe­ri­ence ran­ges from clas­sic cost/performance, cost cen­ter, cost unit and pro­fit cen­ter accoun­ting to cost allo­ca­ti­on accoun­ting, time-dri­­ven acti­­vi­­ty-based cos­ting (TD-ABC), balan­ced score­card, con­trol­ling, key per­for­mance indi­ca­tors and infor­ma­ti­on sys­tems for sales, mar­ke­ting, pro­duc­tion, pay­ment sys­tems, ser­vices, logistics, real esta­te manage­ment as well as public bud­gets, jus­ti­ce, poli­ce and social affairs.

Here’s what we work with

Products

 

The ran­ge of soft­ware pro­ducts on offer has never been as exten­si­ve and vola­ti­le as it is today. That’s why we con­ti­nuous­ly obser­ve new trends and manu­fac­tu­rers and eva­lua­te their pro­ducts. Our goal is to iden­ti­fy the best tools that will be reli­able over a long peri­od of time and to offer out­stan­ding, mar­­ket-lea­­ding exper­ti­se to go along with them:

Snowflake

Snow­fla­ke is “the only data wareh­ouse built for the cloud” and the cen­tral com­po­nent in cloud-based modern data wareh­ouse and data lake archi­tec­tures. As the lea­ding mul­­ti-clus­­ter MPP sys­tem, it offers very high data volu­mes, per­for­mance, sca­la­bi­li­ty and ease of ope­ra­ti­on.

Microsoft SQL Server 2019 and SQL Server big data clusters

A pro­duct deve­lo­ped and matu­red over 20 years with the com­pon­ents RDBMS, SQL Ser­ver Ana­ly­sis Ser­vices, SQL Ser­ver Inte­gra­ti­on Ser­vices, SQL Ser­ver Repor­ting Ser­vices. In the latest genera­ti­on 2019, the “SQL Ser­ver big data clus­ter” ver­si­on inclu­des “built-in” func­tions to sup­port big data sce­n­a­ri­os. This inclu­des the direct inte­gra­ti­on of Ten­sor­Flow, Spark, SparkR and HDFS.

Microsoft Power BI (Enterprise Reporting und Self-Service BI)

Power BI is the self-ser­­vice Busi­ness Intel­li­gence solu­ti­on for col­la­bo­ra­ti­on in small teams or group-wide orga­niz­a­ti­ons. It inclu­des func­tions for buil­ding intel­li­gent data models, dash­boards, reports, and infor­ma­ti­on manage­ment, taking into account mobi­le devices such as smart­pho­nes and tablets.

Azure Cloud Infrastructure (Network, Security, Authentication, Automation, Deployment, Monitoring, DevOps)

The use of cloud-based ser­vices requi­res the struc­tu­ring, pro­tec­tion, inte­gra­ti­on and ope­ra­ti­on of cloud-based “vir­tu­al” infra­st­ruc­tu­re.

Azure Databases (Azure SQL, Azure SQL Data Warehouse, Cosmos DB)

The­se are cloud-based SQL and NoS­QL data­ba­se sys­tems for struc­tu­red, semi-struc­­tu­­red, docu­­ment-based and graph-ori­en­­ted requi­re­ments.

Azure Data Platform Tools (Data Factory, Event Hub, IoT Hub, Stream Analytics)

All ser­vices for buil­ding cloud-based and hybrid data lake and modern data wareh­ouse solu­ti­ons for data manage­ment, flow con­trol, strea­ming, con­trol and auto­ma­ti­on.

Databricks, Spark, Azure Machine Learning Services, Azure IoT, Edge Devices, Azure Cognitive Services

Cloud-based infra­st­ruc­tu­re and tools for the deve­lo­p­ment and trai­ning of app­li­ca­ti­ons in the field of arti­fi­cial intel­li­gence and machi­ne lear­ning, as well as dis­tri­bu­ti­on and pro­vi­si­on via what are known as “edge devices” for laten­­cy-free inte­gra­ti­on in non-cloud-based loca­ti­ons.

SAP, SAP BW, SAP HANA, SAP BODS, SAP SLT, SAP on Azure, SAP Connectivity

This inclu­des SAP-clean infor­ma­ti­on sys­tems as well as tech­no­lo­gies for the inte­gra­ti­on of SAP envi­ron­ments and data from SAP sys­tems into holistic, hybrid data con­cepts using con­nec­tors, repli­ca­ti­on mecha­nisms and trans­for­ma­ti­on ser­vices. In addi­ti­on, the mode­ling and deploy­ment of SAP data sources for use with Micro­soft Power BI as a self-ser­­vice BI solu­ti­on.

Corporate groups, medium-sized companies, public administration

Our clients

 

Our cli­ents inclu­de both com­pa­nies and groups in the Ger­man Top 500 as well as lar­ger mid-sized com­pa­nies and public admi­nis­tra­ti­on. We cur­r­ent­ly cover the fol­lowing indus­tries and sec­tors: ener­gy, real esta­te, ser­vices, pro­duc­tion, mail order, retail, gaming, insuran­ce, finan­ce, logistics, public admi­nis­tra­ti­on, BOS, law enfor­ce­ment and poli­ce. Our con­ta­ct per­sons and cli­ents come from the fiel­ds of manage­ment, IT manage­ment, inno­va­ti­on depart­ments, and spe­cia­list are­as.

Kundenreferenzen

Tailor-made for your needs

Service formats

 

Depen­ding on the requi­re­ments, issue at hand and pro­ject pha­se, we offer our ser­vices in various for­mats:

Advisory and supervising

Here, we offer you our con­sul­ting ser­vices on stra­te­gic issu­es or to con­vey a holistic under­stan­ding, to deri­ve “big pic­tures,” and to initia­te fea­si­bi­li­ty stu­dies and brain­stor­ming as well as second opi­ni­ons and eva­lua­tions of alrea­dy exis­ting con­cepts. Our con­ta­cts in this area are most­ly stra­te­gy mana­gers, IT mana­gers, and enter­pri­se archi­tects. Depen­ding on the situa­ti­on, this ser­vice is pro­vi­ded on a selec­ti­ve or con­ti­nuous basis to accom­pa­ny the pro­ject.

Holistic implementation

We offer imple­men­ta­ti­on ser­vices for all con­cepts and archi­tec­tures, spe­cia­list con­sul­ting and stra­te­gic sup­port – across all are­as and pro­ducts.

Handover

We offer our “han­do­ver” ser­vice for all imple­men­ta­ti­ons car­ri­ed out in the cour­se of the pro­ject. This enab­les you to reli­ab­ly ope­ra­te the crea­ted solu­ti­ons under your own direc­tion.

Training sessions and workshops

We offer trai­ning for the com­ple­te ran­ge of solu­ti­ons. In the con­text of pro­jects, the­se are car­ri­ed out for end users, IT ope­ra­ti­ons or com­pe­tence teams in terms of busi­ness, tech­no­lo­gy or con­tent.

Inde­pen­dent of pro­jects, we also offer stan­dar­di­zed trai­ning for Micro­soft Power BI. Depen­ding on your needs, the­se can be tailo­red to your spe­ci­fic requi­re­ments and equip­ped with your data as indi­vi­du­al work­shops. In addi­ti­on, we con­duct work­shops espe­cial­ly for your tech­ni­cal or spe­cia­list teams to com­mu­ni­ca­te new tech­no­lo­gies and con­cepts in a com­pact and inter­ac­ti­ve form.

We also offer work­shops for your tech­ni­cal or pro­fes­sio­nal teams to con­vey the new tech­no­lo­gies and con­cepts in a com­pact and inter­ac­ti­ve form.

Proof of concept

Does it make sen­se to intro­du­ce a cer­tain pro­duct? Are our frame­work con­di­ti­ons sui­ta­ble for this? Have we pro­per­ly unders­tood the preli­mi­na­ry sket­ches and how it works? Pro­ofs of con­cept (POCs) aim to ans­wer the­se and other ques­ti­ons in a short peri­od of time in order to then make the right invest­ment decisi­ons based on more pro­found know­ledge.

In a “scoping work­shop,” the ques­ti­ons are defi­ned more pre­cise­ly – what is “in scope,” but also what is “out of scope.” Secon­da­ry objec­ti­ves, such as “we want to gain a deeper under­stan­ding of the tool,” are for­mu­la­ted, pre­con­di­ti­ons are worked out and the pro­cess is sche­du­led. The actu­al POC gene­ral­ly requi­res 10 days of exter­nal effort. This is fol­lo­wed by an eva­lua­ti­on of the results and dis­cus­sion of the addi­tio­nal fin­dings.

Data warehouse cloud migration and modernization, Hadoop substitution

Is the per­for­mance of tra­di­tio­nal data­ba­se sys­tems no lon­ger suf­fi­ci­ent, have key com­pon­ents been dis­con­ti­nued, are cos­ts get­ting out of hand, are Hado­op sys­tems dif­fi­cult to con­trol and have not deli­ve­r­ed what they pro­mi­sed? Or does the pro­blem requi­re a fun­da­ment­al­ly new stra­te­gy while retai­ning exis­ting func­tio­n­a­li­ties? We cla­ri­fy the­se ques­ti­ons tog­e­ther with you.

We bring with us sound expe­ri­ence in the field of cloud migra­ti­on and moder­niz­a­ti­on of Big Data, data wareh­ouse and busi­ness intel­li­gence solu­ti­ons. Our ser­vice port­fo­lio ran­ges from “lift and shift” to re-engi­nee­­ring and de fac­to new imple­men­ta­ti­on.

Operational support and operation

Depen­ding on the desi­red model, we will pro­vi­de you with recur­ring sup­port on a selec­ti­ve basis or at the 2nd or 3rd level of sup­port. Alter­na­tively, we can take over the com­ple­te ope­ra­ti­on of your app­li­ca­ti­on at the agreed ser­vice levels.

Your contact

Ste­phan Kin­ne
Busi­ness Deve­lo­p­ment & Alli­an­ces Mana­ger
Tel. +49 (0)40 822171 513

E‑mail: stephan.kinne@initions-consulting.com

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