



--
-- Name: cases_id_seq; Type: SEQUENCE; Schema: public; Owner: chatbot_user
--

CREATE SEQUENCE public.cases_id_seq
    AS integer
    START WITH 1
    INCREMENT BY 1
    NO MINVALUE
    NO MAXVALUE
    CACHE 1;


ALTER SEQUENCE public.cases_id_seq OWNER TO chatbot_user;

--
-- Name: cases_id_seq; Type: SEQUENCE OWNED BY; Schema: public; Owner: chatbot_user
--

ALTER SEQUENCE public.cases_id_seq OWNED BY public.cases.id;


--
-- Name: documents; Type: TABLE; Schema: public; Owner: chatbot_user
--

CREATE TABLE public.documents (
    id integer NOT NULL,
    tenant_id integer NOT NULL,
    case_id integer,
    title character varying(255) NOT NULL,
    content text NOT NULL,
    embedding text,
    tags character varying(255),
    uploaded_at timestamp without time zone
);


ALTER TABLE public.documents OWNER TO chatbot_user;

--
-- Name: documents_id_seq; Type: SEQUENCE; Schema: public; Owner: chatbot_user
--

CREATE SEQUENCE public.documents_id_seq
    AS integer
    START WITH 1
    INCREMENT BY 1
    NO MINVALUE
    NO MAXVALUE
    CACHE 1;


ALTER SEQUENCE public.documents_id_seq OWNER TO chatbot_user;

--
-- Name: documents_id_seq; Type: SEQUENCE OWNED BY; Schema: public; Owner: chatbot_user
--

ALTER SEQUENCE public.documents_id_seq OWNED BY public.documents.id;


--
-- Name: followup_questions; Type: TABLE; Schema: public; Owner: chatbot_user
--

CREATE TABLE public.followup_questions (
    id integer NOT NULL,
    message_id integer NOT NULL,
    question_text text NOT NULL
);


ALTER TABLE public.followup_questions OWNER TO chatbot_user;

--
-- Name: followup_questions_id_seq; Type: SEQUENCE; Schema: public; Owner: chatbot_user
--

CREATE SEQUENCE public.followup_questions_id_seq
    AS integer
    START WITH 1
    INCREMENT BY 1
    NO MINVALUE
    NO MAXVALUE
    CACHE 1;


ALTER SEQUENCE public.followup_questions_id_seq OWNER TO chatbot_user;

--
-- Name: followup_questions_id_seq; Type: SEQUENCE OWNED BY; Schema: public; Owner: chatbot_user
--

ALTER SEQUENCE public.followup_questions_id_seq OWNED BY public.followup_questions.id;


--
-- Name: messages; Type: TABLE; Schema: public; Owner: chatbot_user
--

CREATE TABLE public.messages (
    id integer NOT NULL,
    case_id integer NOT NULL,
    role character varying(20) NOT NULL,
    content text NOT NULL,
    button_choice character varying(255),
    "timestamp" timestamp without time zone
);


ALTER TABLE public.messages OWNER TO chatbot_user;

--
-- Name: messages_id_seq; Type: SEQUENCE; Schema: public; Owner: chatbot_user
--

CREATE SEQUENCE public.messages_id_seq
    AS integer
    START WITH 1
    INCREMENT BY 1
    NO MINVALUE
    NO MAXVALUE
    CACHE 1;


ALTER SEQUENCE public.messages_id_seq OWNER TO chatbot_user;

--
-- Name: messages_id_seq; Type: SEQUENCE OWNED BY; Schema: public; Owner: chatbot_user
--

ALTER SEQUENCE public.messages_id_seq OWNED BY public.messages.id;


--
-- Name: prompts; Type: TABLE; Schema: public; Owner: chatbot_user
--

CREATE TABLE public.prompts (
    id integer NOT NULL,
    tenant_id integer NOT NULL,
    name character varying(255) NOT NULL,
    role character varying(20) NOT NULL,
    content text NOT NULL,
    is_default boolean,
    created_at timestamp without time zone
);


ALTER TABLE public.prompts OWNER TO chatbot_user;

--
-- Name: prompts_id_seq; Type: SEQUENCE; Schema: public; Owner: chatbot_user
--

CREATE SEQUENCE public.prompts_id_seq
    AS integer
    START WITH 1
    INCREMENT BY 1
    NO MINVALUE
    NO MAXVALUE
    CACHE 1;


ALTER SEQUENCE public.prompts_id_seq OWNER TO chatbot_user;

--
-- Name: prompts_id_seq; Type: SEQUENCE OWNED BY; Schema: public; Owner: chatbot_user
--

ALTER SEQUENCE public.prompts_id_seq OWNED BY public.prompts.id;

--
-- Name: sessions_id_seq; Type: SEQUENCE; Schema: public; Owner: chatbot_user
--

CREATE SEQUENCE public.sessions_id_seq
    AS integer
    START WITH 1
    INCREMENT BY 1
    NO MINVALUE
    NO MAXVALUE
    CACHE 1;


ALTER SEQUENCE public.sessions_id_seq OWNER TO chatbot_user;

--
-- Name: sessions_id_seq; Type: SEQUENCE OWNED BY; Schema: public; Owner: chatbot_user
--

ALTER SEQUENCE public.sessions_id_seq OWNED BY public.sessions.id;


--
-- Name: tenants; Type: TABLE; Schema: public; Owner: chatbot_user
--

CREATE TABLE public.tenants (
    id integer NOT NULL,
    name character varying(255) NOT NULL,
    created_at timestamp without time zone
);


ALTER TABLE public.tenants OWNER TO chatbot_user;

--
-- Name: tenants_id_seq; Type: SEQUENCE; Schema: public; Owner: chatbot_user
--

CREATE SEQUENCE public.tenants_id_seq
    AS integer
    START WITH 1
    INCREMENT BY 1
    NO MINVALUE
    NO MAXVALUE
    CACHE 1;


ALTER SEQUENCE public.tenants_id_seq OWNER TO chatbot_user;

--
-- Name: tenants_id_seq; Type: SEQUENCE OWNED BY; Schema: public; Owner: chatbot_user
--

ALTER SEQUENCE public.tenants_id_seq OWNED BY public.tenants.id;


--
-- Name: topics; Type: TABLE; Schema: public; Owner: chatbot_user
--

CREATE TABLE public.topics (
    id integer NOT NULL,
    tenant_id integer NOT NULL,
    topic character varying(255) NOT NULL,
    question text,
    started_at timestamp without time zone
);


ALTER TABLE public.topics OWNER TO chatbot_user;

--
-- Name: topics_id_seq; Type: SEQUENCE; Schema: public; Owner: chatbot_user
--

CREATE SEQUENCE public.topics_id_seq
    AS integer
    START WITH 1
    INCREMENT BY 1
    NO MINVALUE
    NO MAXVALUE
    CACHE 1;


ALTER SEQUENCE public.topics_id_seq OWNER TO chatbot_user;

--
-- Name: topics_id_seq; Type: SEQUENCE OWNED BY; Schema: public; Owner: chatbot_user
--

ALTER SEQUENCE public.topics_id_seq OWNED BY public.topics.id;


--
-- Name: users; Type: TABLE; Schema: public; Owner: chatbot_user
--

CREATE TABLE public.users (
    id integer NOT NULL,
    tenant_id integer NOT NULL,
    username character varying(100) NOT NULL,
    email character varying(255),
    created_at timestamp without time zone
);


ALTER TABLE public.users OWNER TO chatbot_user;

--
-- Name: users_id_seq; Type: SEQUENCE; Schema: public; Owner: chatbot_user
--

CREATE SEQUENCE public.users_id_seq
    AS integer
    START WITH 1
    INCREMENT BY 1
    NO MINVALUE
    NO MAXVALUE
    CACHE 1;


ALTER SEQUENCE public.users_id_seq OWNER TO chatbot_user;

--
-- Name: users_id_seq; Type: SEQUENCE OWNED BY; Schema: public; Owner: chatbot_user
--

ALTER SEQUENCE public.users_id_seq OWNED BY public.users.id;


--
-- Name: documents id; Type: DEFAULT; Schema: public; Owner: chatbot_user
--

ALTER TABLE ONLY public.documents ALTER COLUMN id SET DEFAULT nextval('public.documents_id_seq'::regclass);


--
-- Name: followup_questions id; Type: DEFAULT; Schema: public; Owner: chatbot_user
--

ALTER TABLE ONLY public.followup_questions ALTER COLUMN id SET DEFAULT nextval('public.followup_questions_id_seq'::regclass);


--
-- Name: messages id; Type: DEFAULT; Schema: public; Owner: chatbot_user
--

ALTER TABLE ONLY public.messages ALTER COLUMN id SET DEFAULT nextval('public.messages_id_seq'::regclass);


--
-- Name: prompts id; Type: DEFAULT; Schema: public; Owner: chatbot_user
--

ALTER TABLE ONLY public.prompts ALTER COLUMN id SET DEFAULT nextval('public.prompts_id_seq'::regclass);


--
-- Name: tenants id; Type: DEFAULT; Schema: public; Owner: chatbot_user
--

ALTER TABLE ONLY public.tenants ALTER COLUMN id SET DEFAULT nextval('public.tenants_id_seq'::regclass);


--
-- Name: topics id; Type: DEFAULT; Schema: public; Owner: chatbot_user
--

ALTER TABLE ONLY public.topics ALTER COLUMN id SET DEFAULT nextval('public.topics_id_seq'::regclass);


--
-- Name: users id; Type: DEFAULT; Schema: public; Owner: chatbot_user
--

ALTER TABLE ONLY public.users ALTER COLUMN id SET DEFAULT nextval('public.users_id_seq'::regclass);

--
-- Data for Name: documents; Type: TABLE DATA; Schema: public; Owner: chatbot_user
--

COPY public.documents (id, tenant_id, case_id, title, content, embedding, tags, uploaded_at) FROM stdin;
3	1	\N	quote	"Ihr Projekt ist unsere Unternehmung. Diese Vision gilt es weiterhin umzusetzen und an den aktuellen Strömungen und Trends zu entwickeln und zu messen. In dem Zusammenhang muss man nur mal an das Thema KI denken und wie sie das Arbeitsumfeld von Projektmanager:innen verändern wird."\r\n\r\nSibylle Schmidtke - Geschäftsführerin bei House of PM	\N	PM Vision	\N
1	1	\N	quote	"Das magische Dreieck des Projektmanagements – Zeit, Kosten, Qualität – ist in der Praxis eine große Herausforderung.\r\n\r\nGutes Projektmanagement mit der geeigneten Methode ist wesentlich, damit ein Projekt erfolgreich - also pünktlich, im Budget und mit der geforderten Qualität abgeschlossen wird."\r\n\r\nHauke Thun, House of PM Gründer	\N	Zeit, Kosten, Qualität, magisches Dreieck	\N
4	1	\N	quote	"Wir sind Dienstleister für die Bewältigung komplexer Projektvorhaben bei unseren Zielkunden und sind als PM-Experten in wichtigen und kritischen Projekten in Deutschland gefragt. Dabei übernehmen wir Verantwortung, denken und handeln unternehmerisch und schaffen damit Strukturen, die eine kontinuierliche Verbesserung der Unternehmen sicherstellen."\r\n\r\nSibylle Schmidtke - Geschäftsführerin bei House of PM	\N	PM-Experten	\N
12	4	\N	quote	Realcube bietet eine objektive Grundlage für die Bewertung der Asset-Performance und unterstützt umfassende Berichte, die sowohl internen Stakeholdern als auch externen Investoren präsentiert werden können.\r\n\r\n\r\nDr. Uwe Forgber - CEO, Realcube	\N	\N	\N
5	1	\N	summary_intro_1	Sie wollen die Herausforderungen, die im Projekt-Management auftreten meistern. Zum Beispiel {iteration1} und {iteration2}, mit dem Lösungsansatz {iteration3}.\r\n\r\nDas sagt House of PM:\r\n	\N	HoPM Summary Intro	\N
2	1	\N	quote	"Zeit, Kosten und Qualität wird das magische Dreieck des Projektmanagement genannt.\r\n\r\nUm zu wissen, wann man was priorisieren muss, braucht man aber weniger Magie, sondern die geeignete Methode und Projektmanager, die wissen, wie man Projekte erfolgreich managt."\r\n\r\nHauke Thun, House of PM Gründer	\N	Zeit, Kosten, Qualität, magisches Dreieck	\N
72	1	\N	Area42_AI_Herausforderungen-in-der-Projektarbeit :: p19 :: c02	. Technologische Unterstützung durch Simultanübersetzung \no \nNutzen Sie moderne Übersetzungstools, um Meetings und Dokumente in \nEchtzeit verständlich zu machen. \no \nImplementieren Sie KI-gestützte Sprachassistenten, um die Kommunikation \neffizienter zu gestalten. \nDie Rolle von Künstlicher Intelligenz (KI) bei der Überwindung von Barrieren \nKI-Technologien können helfen, kulturelle und sprachliche Hürden effizient zu bewältigen. \nSie ermöglichen: \n• \nEchtzeit-Übersetzungen für Meetings und Dokumentationen \n• \nAutomatische Analyse von Kommunikationsmustern zur Identifikation von \nMissverständnissen	[-0.021990658715367317, 0.0048617408610880375, 0.0031360278371721506, 0.029314039275050163, -0.0103645334020257, -0.026339557021856308, 0.002511642873287201, 0.035980984568595886, -0.0031924403738230467, 0.026544693857431412, 0.0014474961208179593, -0.049355898052453995, 0.0012205635430291295, -0.014923697337508202, -0.0209649745374918, -0.0002953648508992046, 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81	1	\N	Area42_AI_Herausforderungen-in-der-Projektarbeit :: p24 :: c01	24 \n \nDie Lösung: Systematisches, vorausschauendes Risikomanagement \nRisikoanalyse als Fundament der Projektsteuerung \nIdentifizieren Sie frühzeitig potenzielle Risiken – von technischen Herausforderungen über \nRessourcenengpässe bis zu politischen Faktoren. Je früher Risiken erkannt werden, desto \ngezielter können Sie ihnen begegnen. \nQualitative und quantitative Bewertung zur Priorisierung \nNicht jedes Risiko ist gleich kritisch. Bewerten Sie Eintrittswahrscheinlichkeit und \nSchadenshöhe – qualitativ (z. B. per Risikomatrix) oder quantitativ (z. B. mit monetären \nAuswirkungen). So erkennen Sie, welche Risiken wirklich „behandlungsbedürftig“ sind. \nRisikobudget als Absicherungsspielraum \nEin fixes Risikobudget schafft Handlungsspielraum im Ernstfall – ohne das gesamte \nProjektbudget zu sprengen. Es ermöglicht schnelle Entscheidungen bei Eintritt eines Risikos \nund erhöht die Planungsstabilität. \nDie Rolle von Künstlicher Intelligenz (KI) \nKI kann das Risikomanagement in Projekten gezielt stärken: \n• \nAuswertung von Erfahrungswerten und früheren Projektrisiken \n• \nVorschläge zu passenden Gegenmaßnahmen auf Basis von Risikotypen \n• \nBewertung von Kosten-Nutzen-Verhältnissen möglicher Präventivmaßnahmen \nKonkrete Prompt-Vorschläge für Projektmanager zur Risikobewertung und -vermeidung: \nIdentifizieren Sie potenzielle Risiken für Ihr aktuelles Projekt. Analysieren Sie dazu ähnliche \nabgeschlossene Projekte und leiten Sie typische Risikofelder ab (z. B. Technik, Personal, \nFinanzen). Welche Risiken gelten als wahrscheinlich und kritisch? \nBewerten Sie die identifizierten Projektrisiken qualit	[-0.04099763557314873, 0.0675794780254364, 0.030185792595148087, 0.008988027460873127, 0.014230133034288883, -0.034182898700237274, -0.03022947534918785, 0.008349145762622356, -0.00453769788146019, 0.05849316343665123, -0.027193423360586166, -0.06294894963502884, 0.007983289659023285, -0.042679477483034134, 0.04191500321030617, -0.030404213815927505, -0.03964342549443245, -0.0304697398096323, -0.026363423094153404, -0.0018401974812150002, 0.034182898700237274, 0.02115408144891262, -0.020487897098064423, 0.015365921892225742, -0.016873028129339218, -0.012056843377649784, 0.0027370890602469444, -0.026516318321228027, -0.005236645229160786, 0.03907553106546402, 0.060284215956926346, -0.020367763936519623, -0.02907184511423111, 0.023938950151205063, 0.015911974012851715, 0.0196688175201416, -0.07710263878107071, -0.004646908491849899, -0.03138710930943489, 0.012602895498275757, 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13	4	\N	quote	Realcube Prognosemodelle und Szenarioanalysen ermöglichen eine präzise Planung der Liquiditätsbedarfe und optimieren die Kapitalverwendung. \r\n\r\n\r\nDr. Uwe Forgber - CEO, Realcube	\N	\N	\N
14	4	\N	quote	Realcube bietet automatisierte Workflows und eine nahtlose Integration von Finanzsystemen und -Prozessen in das Immobilien Management.\r\n\r\n\r\nDr. Uwe Forgber - CEO, Realcube	\N	\N	\N
30	4	\N	FAM-for-RAG :: p06 :: c02	isch gefordert, sondern stärkt auch das \nVertrauen der Investoren. Unternehmen, die quartalsweise statt nur jährlich berichten, \nkönnen bis zu 15 % mehr Kapital von institutionellen Investoren einwerben. \n5. Fazit \nFinanz-Asset-Management ist die Grundlage für Stabilität, Wachstum und Vertrauen im \nImmobiliensektor. Gerade in Zeiten volatiler Zinsen und steigender Anforderungen an \nNachhaltigkeit und Transparenz ist es für Immobilienunternehmen unerlässlich, ihre \nFinanzprozesse e]izient und vorausschauend zu steuern. \n \n	[0.0010509685380384326, 0.06601803749799728, 0.027255764231085777, 0.04200541973114014, 0.034075260162353516, 0.007741347886621952, -0.023035230115056038, 0.007274867966771126, 0.018103869631886482, 0.008579901419579983, -0.0058809807524085045, -0.052068062126636505, 0.004731440916657448, -0.03371984511613846, 0.013250255025923252, 0.003082100534811616, -0.0026475521735846996, -0.0030793237965554, -0.019114576280117035, -0.01578257605433464, 0.012306188233196735, -0.02201341651380062, -0.028744058683514595, 0.014416455291211605, -0.07023856788873672, -0.01335021574050188, -0.04567062109708786, -0.046870142221450806, -0.003193167271092534, -0.01391665544360876, 0.05260118097066879, -0.02703363075852394, 0.05042427405714989, -0.0027849972248077393, -0.004106690641492605, 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23	4	\N	FAM-for-RAG :: p01 :: c01	Realcube Financial Asset Management  \nund  \nRealcube Digitalisierung im Immobilien Management \n \nZentrale Asset Finanzdaten-Verwaltung und -analyse auf der Realcube Plattform mit \nproaktivem Management, und optimierten und automatisierten Finanzprozessen in \nEchtzeit statt manueller Datenerhebung, isolierten Systemen und reaktiven \nWartungsstrategien. \nFür bessere ﬁnanzielle Performance und bessere strategische Entscheidungsﬁndung. \nVorteile: \n \nInvestitionssicherheit über Variantenplanungen wie z.B. Cashﬂow Optimierung unter den \nBedingungen von ESG-Anforderungen erforderlicher CAPEX Investitionen und \nUmnutzungsszenarien. \n \nRealcube ist Ihr Cockpit für erfolgreiches Immobilienmanagement und mit allen Daten und \nInformationen mit denen Sie auch die perfekte Sicht auf die zukünftige Entwicklung Ihrer \nInvestitionen haben. \n \nRealcube revolutioniert Financial Asset Management. \nMit Realcube den Cash-Flow jederzeit im Blick! \n \nPortfolio-Analyse und Optimierung: \n \nDie Realcube-Plattform integriert und analysiert Portfoliodaten in Echtzeit und gibt Asset-\nManagern tiefgreifende Einblicke in die Performance ihrer Investments. Durch \nfortschrittliche Analysefunktionen, wie z.B. Trenderkennung und Musteranalyse, können \nAnlagestrategien optimiert und das Risiko-Return-Proﬁl verbessert werden. Dies \nermöglicht eine dynamische Anpassung von Portfolios in Reaktion auf \nMarktveränderungen. \n \n	[0.014247821643948555, 0.03964308276772499, 0.028704656288027763, 0.05583009496331215, 0.030980592593550682, -0.006398166064172983, -0.016001220792531967, -0.0005533804069273174, 0.030260654166340828, 0.0351841077208519, 0.012180900201201439, -0.06563054770231247, 0.017139188945293427, -0.051324669271707535, 0.02700931765139103, -0.0005225362256169319, 0.020471807569265366, -0.009788845665752888, -0.014631014317274094, 0.05504048243165016, 0.026289379224181175, 0.004389304202049971, -0.01220412366092205, -0.006856836378574371, -0.06567700207233429, 0.02882077544927597, 0.0018216193420812488, -0.03718135505914688, 0.010833918116986752, -0.00826768483966589, 0.02784537523984909, -0.030167758464813232, -0.003193276934325695, -0.008035446517169476, -0.03713490813970566, 0.013260808773338795, -0.05620167404413223, 0.028542090207338333, -0.032165009528398514, 0.04649411141872406, 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24	4	\N	FAM-for-RAG :: p02 :: c01	Risikomanagement und Compliance \nDurch automatisierte Überwachung und Reporting bietet die Plattform eine lückenlose \nEinhaltung ﬁnanzieller Vorschriften und interner Richtlinien. Risikofaktoren werden \nfrühzeitig erkannt und bewertet, wodurch proaktive Maßnahmen zur Risikominimierung \nermöglicht werden. Dies stärkt Investoren-Vertrauen und reduziert die Gefahr \nregulatorischer Strafen. \n \nLiquiditätsmanagement und Cash-Flow Prognosen \nDurch die zentrale Erfassung und Analyse von Cashﬂows und Liquiditätsdaten hilft die \nPlattform, Liquiditätsengpässe vorherzusehen und zu vermeiden. Prognosemodelle und \nSzenarioanalysen ermöglichen eine präzise Planung der Liquiditätsbedarfe und optimieren \ndie Kapitalverwendung, was zu einer verbesserten ﬁnanziellen Stabilität führt. \n \nLeistungsbenchmarking und Reporting \nDie Plattform erleichtert das Benchmarking der Finanzleistung gegenüber Marktstandards \nund historischen Daten. Dies bietet eine objektive Grundlage für die Bewertung der Asset-\nPerformance und unterstützt umfassende Berichte, die sowohl internen Stakeholdern als \nauch externen Investoren präsentiert werden können. \n \nIntegration und Automatisierung von Finanzoperationen \nAutomatisierte Workﬂows und eine nahtlose Integration von Finanzsystemen und -\nprozessen reduzieren manuellen Aufwand und Fehleranfälligkeit. Durch die Zentralisierung \nvon Finanzoperationen werden E]izienz und Transparenz gesteigert, wodurch schnellere \nund fundiertere Entscheidungen getro]en werden können. \n \nExecutive Summary \nDas Finanz-Asset-Management ist ein zentraler Erfolgsfaktor für Immobilienunternehmen. \nEs stellt sicher, dass Kapitalströme optimiert, Risiken minimiert und \nInvestorenanforderungen erfüllt werden. 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25	4	\N	FAM-for-RAG :: p02 :: c02	 ist ein zentraler Erfolgsfaktor für Immobilienunternehmen. \nEs stellt sicher, dass Kapitalströme optimiert, Risiken minimiert und \nInvestorenanforderungen erfüllt werden. Der deutsche Immobilienmarkt umfasst ein \nVolumen von über 1,6 Billionen € an Hypotheken, während institutionelle Investoren mehr \nals 2 Billionen € verwalten. Die Fähigkeit, Transparenz und Vorhersehbarkeit zu scha]en, \n	[0.02853071689605713, 0.06543369591236115, 0.021316753700375557, 0.05945931375026703, 0.0508025586605072, -0.009357831440865993, 0.022678261622786522, 0.03328583389520645, 0.01800442673265934, -0.012172292917966843, -0.013371232897043228, -0.04092653840780258, -0.015474459156394005, -0.037492286413908005, 0.027392739430069923, 0.0002281352353747934, -0.008382421918213367, 0.037289075553417206, -0.015850398689508438, 0.004734798334538937, 0.0020117813255637884, -0.027616269886493683, -0.04852660372853279, 0.010993673466145992, -0.0325746014714241, -0.02826654352247715, -0.07039202004671097, -0.04938008636236191, -0.0022124513052403927, 0.007122518494725227, 0.02578737773001194, -0.027413059026002884, 0.04159713536500931, -0.011542340740561485, -0.00572036812081933, 0.044950101524591446, -0.07693539559841156, 0.03588692471385002, -0.03877251222729683, 0.018918871879577637, 0.020016208291053772, 0.03176175802946091, 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26	4	\N	FAM-for-RAG :: p03 :: c01	entscheidet über den Zugang zu Kapital und die langfristige Stabilität.  \n \nWesentliche Erkenntnisse: \n• Das Transaktionsvolumen für Gewerbeimmobilien sank 2023 auf rund 30 Mrd. €. \n• Eine Zinsänderung von +1 % erhöht bei einem 100 Mio. € Kredit die Kosten um ca. 1 Mio. € \njährlich. \n• Investoren erwarten marktüblich eine IRR von 5–7 % bei Core-Immobilien. \n• Quartalsweises Reporting kann bis zu 15 % mehr Kapitalzugang ermöglichen. \n \n \n \n \n	[0.00558838713914156, 0.061506401747465134, 0.042658399790525436, 0.019519519060850143, 0.03161820396780968, 0.040609702467918396, -0.0030075993854552507, 0.04994264990091324, 0.031595442444086075, -0.011432860977947712, -0.016753779724240303, -0.028704505413770676, 0.010647527873516083, -0.0052526285871863365, 0.03357584774494171, -0.009862193837761879, -0.011859672144055367, 0.05153608322143555, -0.020737353712320328, 0.012394609861075878, 0.017766745761036873, 0.010010155849158764, 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27	4	\N	FAM-for-RAG :: p04 :: c01	Finanz-Asset-Management für Immobilienunternehmen \n1. Marktvolumen Immobilien \n \nAbbildung 1: Rückgang des Transaktionsvolumens in den letzten Jahren. \n2. Auswirkungen von Zinsänderungen \n \nAbbildung 2: Jede +1 %-Erhöhung des Zinssatzes steigert die Kosten um ca. 1 Mio. €. \n	[-0.003475857898592949, 0.06215910241007805, 0.020229164510965347, 0.009691768325865269, 0.001696745865046978, 0.021931400522589684, 0.0019218804081901908, 0.02561042830348015, 0.023150421679019928, -0.019394518807530403, -0.016154777258634567, -0.039052609354257584, 0.005084746517241001, -0.010158510878682137, 0.019998537376523018, -0.010427573695778847, 0.021667828783392906, 0.031848303973674774, -0.021283451467752457, 0.00517809484153986, -0.003997511230409145, -0.01349709089845419, -0.028465794399380684, 0.018307283520698547, -0.036944031715393066, 0.010235385969281197, -0.04395065829157829, -0.04287440702319145, -0.004154006950557232, -0.013617895543575287, 0.08873596042394638, -0.020877111703157425, 0.046871915459632874, -0.003451148048043251, -0.01571549102663994, 0.03540652617812157, -0.06128052994608879, 0.026598824188113213, -0.03088187240064144, 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28	4	\N	FAM-for-RAG :: p05 :: c01	3. Renditeerwartungen Investoren \n \nAbbildung 3: Unterschiedliche Renditeerwartungen je nach Risikoproﬁl. \n4. Fazit \nDie Kombination aus Marktvolumen, Zinsrisiko und Investorenanforderungen macht \ndeutlich: Professionelles Finanz-Asset-Management ist entscheidend für \nWettbewerbsfähigkeit und Stabilität im Immobiliensektor. Unternehmen, die Transparenz \nund Digitalisierung konsequent einsetzen, sichern sich langfristig Vertrauen und Kapital. \n \n \nFinanz-Asset-Management für Immobilienunternehmen \nDas Finanz-Asset-Management ist ein zentrales Element für Immobilienunternehmen, um \nnachhaltige Renditen zu sichern, Risiken zu steuern und Transparenz gegenüber Investoren \nund Kreditgebern zu gewährleisten. Gerade in einem Markt mit steigenden \nFinanzierungskosten und wachsender Regulierung ist ein professionelles Management \nunverzichtbar. \n1. Grundlagen des Finanz-Asset-Managements \nImmobilienunternehmen verwalten häuﬁg Portfolios im Wert von mehreren Millionen Euro. \nIn Deutschland betrug das Transaktionsvolumen für gewerbliche Immobilien 2023 rund 30 \nMilliarden Euro. 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29	4	\N	FAM-for-RAG :: p06 :: c01	Liquiditätssteuerung, Fremd- und Eigenkapitalmanagement sowie die Optimierung von \nCashﬂows. \n2. Bedeutung für Hypotheken \nHypotheken sind für Immobilienunternehmen das wichtigste Finanzierungsinstrument. Der \ndeutsche Hypothekenmarkt beläuft sich auf über 1,6 Billionen Euro, mit einer \ndurchschnittlichen Laufzeit von 15 bis 25 Jahren. Eine präzise Planung von Zins- und \nTilgungsleistungen ist entscheidend, um Zahlungsfähigkeit und Wachstum sicherzustellen. \nSchon eine Zinsänderung von +1 % kann die jährlichen Finanzierungskosten eines \nImmobilienportfolios von 100 Mio. € um bis zu 1 Mio. € erhöhen. \n3. Bedeutung für Investoren \nInvestoren legen zunehmend Wert auf Transparenz und Vorhersehbarkeit. Institutionelle \nAnleger wie Pensionskassen und Versicherungen verwalten in Deutschland ein \nAnlagevolumen von über 2 Billionen Euro, wovon ein erheblicher Teil in Immobilien ﬂießt. \nFür Investoren ist entscheidend, dass Renditeprognosen nachvollziehbar sind und die \nBerichterstattung regelmäßig und standardisiert erfolgt. Eine IRR (Internal Rate of Return) \nvon 5–7 % gilt als marktüblich für Core-Immobilien. \n4. Transparenz und Digitalisierung \nDigitale Tools ermöglichen eine laufende Überwachung von Cashﬂows, Leerständen und \nFinanzkennzahlen. Ein transparentes Reporting nach internationalen Standards (z. B. IFRS, \nESG-Berichterstattung) ist nicht nur regulatorisch gefordert, sondern stärkt auch das \nVertrauen der Investoren. Unternehmen, die quartalsweise statt nur jährlich berichten, \nkönnen bis zu 15 % mehr Kapital von institutionellen Investoren einwerben. \n5. Fazit \nFinanz-Asset-Management ist die Grundlage für Stabilität, Wachstum und	[-0.014283289201557636, 0.09799254685640335, 0.009624267928302288, 0.03650660067796707, 0.05840180814266205, 0.00040294788777828217, -0.010225784964859486, 0.008164223283529282, 0.04468722641468048, 0.012052208185195923, -0.0033876330126076937, -0.04554028809070587, 0.00726741598919034, -0.05258350074291229, 0.019007930532097816, -0.03036019206047058, -0.002776546636596322, 0.026926077902317047, -0.0008756170282140374, 0.0058019026182591915, 0.03318185359239578, -0.006255774293094873, -0.03434113785624504, 0.013616152107715607, -0.03935013338923454, -0.01709401234984398, -0.04363730549812317, -0.04602150246500969, -0.004486768040806055, -0.01116087008267641, 0.07695040106773376, -0.03786274418234825, 0.024323150515556335, -0.004935171455144882, -0.01073434017598629, 0.042171794921159744, -0.06124534457921982, 0.02309824340045452, -0.042193666100502014, 0.018100185319781303, 0.017236189916729927, 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31	4	\N	FAM-for-RAG :: p07 :: c01	 \nImmobilien Management / Real Estate (RE) Grundlagen \n• \nZweck: Einordnung von Financial Asset-Management (FAM) im Immobilienkontext; Begriffe und \nStrukturen. \n• \nAsset-Klassen: Residential, Office, Retail, Logistics, Hospitality, Special Purpose (z. B. Data \nCenter, Healthcare). \n• \nRollen & Verantwortungen: Owner/Investor, Asset Management (Portfolio-/Wertsteigerung), \nProperty Management (operativ, Miete/Service), Facility Management (Technik, Betrieb). \n• \nLebenszyklus: Acquisition → (Re-)Development → Leasing → Operation → Reinvestment/CapEx → \nDisposal. \n• \nRent Roll Basics: Mieter, Flächen, Mieten (Base Rent, Indexierung), WALT (Weighted Average \nLease Term), Occupancy/Vacancy. \n• \nErgebnisgrößen: NOI (Net Operating Income), Operating Expenses (OpEx), Capital Expenditure \n(CapEx), Net Cashflow. \n• \nBewertung: DCF (Discounted Cash Flow), Ertragswert-/Vergleichswert-Verfahren, Cap Rate \n(Yield), Liegenschaftszins (DE). \n• \nFinanzierung: Equity/Debt, Senior/Mezzanine, Amortizing vs. Interest-Only, Hedging \n(Swap/Cap). \n• \nRisiken: Leerstand, Mietausfall, Zins-, Refinanzierungs-, ESG- & CapEx-Risiken, Markt-\n/Bewertungsrisiken. \n• \nKey KPIs (Beispiele): NOI-Marge, DSCR, LTV, IRR, Occupancy, WALT, CapEx-to-Rent. \nDigitalisierung im Immobilien-Management \n• \nZweck: Daten- & Systemlandschaft verstehen; Voraussetzung für sauberes Reporting, \nForecasting und FAM-Prozesse. \n• \nDatenmodell/MDM: Stammdaten (Objekt, Gebäude, Einheit, Zähler, Verträge), Hierarchien, \nEindeutige IDs, Datengovernance. \n• \nKernsysteme: ERP (z	[-0.024435579776763916, 0.10156986117362976, 0.027352914214134216, 0.016407079994678497, 0.013968190178275108, 0.026045948266983032, -0.0424063503742218, -0.023677073419094086, -0.000485371274407953, 0.034611236304044724, -0.0062430924735963345, -0.05475250259041786, 0.023922130465507507, -0.029966844245791435, -0.003853796748444438, -0.019464444369077682, 0.012567870318889618, 0.029663441702723503, 0.0029567168094217777, 0.04053925722837448, 0.05755314230918884, 0.005968863144516945, -0.03309422358870506, -0.008320233784615993, -0.05470582842826843, -0.00876366812735796, -0.025579174980521202, 0.0009196891915053129, -0.01956946961581707, 0.019534461200237274, 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32	4	\N	FAM-for-RAG :: p07 :: c02	oraussetzung für sauberes Reporting, \nForecasting und FAM-Prozesse. \n• \nDatenmodell/MDM: Stammdaten (Objekt, Gebäude, Einheit, Zähler, Verträge), Hierarchien, \nEindeutige IDs, Datengovernance. \n• \nKernsysteme: ERP (z. B. SAP RE-FX), CAFM/CMMS, DMS, BI/Data Warehouse, Metering/IoT, \nBMS/SCADA, IWMS. \n• \nIntegrationen: API/ETL, Schnittstellen-Semantik, Änderungsprotokolle, Data Quality \n(Vollständigkeit, Aktualität, Genauigkeit). \n• \nProzesse: Budgetierung, Forecast, Periodenabschluss, Instandhaltung & \nAuftragsmanagement, CapEx-Planung & -Controlling. \n• \nStandards (Beispiele): BIM/IFC, ISO 19650, DIN 276 (Kostengliederung), GAEB; \nDatenklassifikation & Taxonomien. \n	[-0.0328194722533226, 0.05383719503879547, 0.058655139058828354, -0.014089168049395084, 0.010818270966410637, 0.037504810839891434, -0.02548205479979515, -0.008199343457818031, 0.00259958952665329, 0.019183369353413582, 0.005005798302590847, -0.08522012829780579, -0.017216410487890244, -0.019293872639536858, 0.06139561906456947, 0.038035228848457336, 0.02042100578546524, 0.010547537356615067, -0.034852731972932816, 0.019934790208935738, 0.08314266800880432, 0.012928883545100689, 0.0030360775999724865, -0.002650697249919176, 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33	4	\N	FAM-for-RAG :: p08 :: c01	• \nSicherheits-/Compliance-Aspekte: Rollen/Rechte, Protokollierung, DSGVO, Löschkonzepte, \nZugriff via VPN/SSO. \n• \nKennzahlenlandschaft: einheitliche KPI-Definitionen (NOI, Vacancy, Energy Intensity, Repair \nBacklog, SLA-Erfüllung). \nKI im Immobilien-Management \n• \nZweck: Typische AI Use Cases, Datenanforderungen, Guardrails. \n• \nUse Cases (Beispiele): Forecasting (Mieteinnahmen, Operating Costs), Anomaly Detection \n(Energie), Predictive Maintenance, Vacancy/Turnover Prediction, CapEx-Priorisierung, \nComputer Vision (Begehungen/Schäden), NLP (Vertrags-/Rechnungs-Extraktion). \n• \nDatenanforderungen: Saubere Zeitreihen, Label-Qualität, Granularität (Objekt/Einheit/Zähler), \nKontext (Wetter, Belegung). \n• \nGovernance: Modellversionierung, Monitoring (Drift, Performance), Explainability, Auditability, \nBias-Kontrollen. \n• \nBetrieb: Batch vs. Near-Real-Time, Retraining-Zyklen, CI/CD für ML, Feature Store, Kosten-\n/Nutzen-Abwägung. \n• \nGrenzen & Risiken: Data Leakage, Überanpassung, schlechte Generalisierung, „Clever Hans“-\nEffekte. \nMortgages & Financing \n• \nZweck: Fremdkapital-Strukturen, Covenants, Zinsmanagement – zentrale Stellgrößen für FAM. \n• \nStrukturen: Senior/Mezzanine/Preferred Equity, Amortizing vs. Interest-Only, Bullet/Annuität, \nSyndizierung. \n• \nKennzahlen/Formeln: \n• \n• LTV (Loan-to-Value) = Loan / Value. \n• \n• DSCR (Debt Service Coverage Ratio) = NOI / Debt Service. \n• \n• Interest Coverage = NOI / Interest Expense. \n• \nZinsmanagement: Fixed vs. Floating, Hedging (Swap/Cap	[-0.036704253405332565, 0.0680130124092102, 0.05623200908303261, 0.00868725124746561, 0.018847128376364708, 0.01812937669456005, -0.02880900353193283, 0.0035237816628068686, 0.028710003942251205, 0.04158000648021698, -0.0001641621347516775, -0.07642801105976105, 0.0075425636023283005, -0.005355281755328178, 0.003610406769439578, -0.040540505200624466, 0.007783875800669193, 0.040144506841897964, 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